About GreenPath GreenPath Financial Wellness is a national nonprofit organization dedicated to empowering people to lead financially healthy lives. We provide counseling, education, and innovative solutions to help individuals and families achieve their financial goals. Our mission-driven culture values collaboration, integrity, and continuous improvement. Position Purpose The Business Analyst serves as a critical liaison between business stakeholders, Product Management, data teams, and IT delivery teams. This role is responsible for leading requirements gathering and analysis across both IT application and data initiatives, ensuring business needs are translated into clear, actionable specifications for system creation, enhancements, data solutions, reporting, and analytics. The Business Analyst partners closely with Product Managers, Product Owners and stakeholders to drive high-quality, user-centered solutions that align with organizational strategy and deliver measurable business value. Main Responsibilities & Duties Business & Requirements Analysis Elicit, analyze, and document clear functional and non functional requirements by partnering closely with Product Managers, Product Owners, business stakeholders and technical stakeholders Ask appropriate curiosity questions to uncover implicit needs (e.g., performance, security, scalability, usability, compliance) to resolve ambiguity and translate complex business problems into precise, testable requirements that reduce rework and drive high quality delivery. Translate needs into clear specifications, including requirements documents, user stories, acceptance criteria, and process diagrams. Identify requirements interdependencies and, as appropriate, work with the Product Owner, Scrum Master and/or technical team to determine development order. Document data lineage, transformations, and calculations in application requirements. Data & Analytics Requirements Analysis Lead requirements gathering for data initiatives, including reports, dashboards, visualizations, and analytics solutions. Lead the effort to document and control project scope and gather stakeholder signoff on scope and requirements Analyze and document source data structures, data transformations, and data warehouse mappings. Perform data discovery and validation to ensure reporting and analytics solutions meet business requirements. Create and maintain enterprise data assets such as data catalogs, data dictionaries, and data flow diagrams. Contribute to enterprise data strategy in collaboration with Data Engineers, Product Owners, and Data Analysts. Solution Delivery & Collaboration Work closely with Developers, Data Engineers, and Infrastructure teams to ensure shared understanding of requirements and solution design. Incorporate usability, user experience, and human-centered design principles into solution definition. Support agile delivery teams by maintaining backlogs, refining user stories, and providing ongoing clarification during development. Testing, Release & Change Enablement Contribute to user acceptance testing (UAT), including test case creation, execution support, and defect triage. Support release activities and deployments. Assist with training, documentation, and communication to support adoption of delivered solutions. Continuous Improvement & Innovation Leverage AI and automation tools to improve efficiency in creating requirements, user stories, and test artifacts. Participate in brainstorming and discovery sessions related to data trends, data quality, process improvement, and innovation. Promote continuous improvement, quality outcomes, and stakeholder satisfaction. Perform other duties as assigned. Professional Knowledge, Skills & Abilities Bachelor's degree in Information Technology, Business, or a related field, or equivalent experience. 3-5 years of experience as a business analyst, including requirements gathering for application development, data, reporting, or analytics initiatives. GreenPath experience may be substituted. Experience writing clear business and technical requirements and test specifications preferred. Experience with Agile methodologies (Scrum, Kanban) preferred. Experience using tools and/or writing requirements for salesforce or PowerBI strongly preferred. Familiarity with tools such as Azure DevOps, Vizio, Drawio, Figma, Mural, CoPilot preferred. Experience documenting requirements for data projects involving SQL, Power BI, and relational or dimensional data models preferred. Familiarity or eagerness to learn data warehousing, operational reporting, and business intelligence concepts. Experience in financial services or call center environments preferred. Qualities & Characteristics Strong analytical and problem-solving skills with high attention to detail. Demonstrated agility in critical thinking and proactive inquiry to gain deeper understanding. Ability to understand complex business processes and technical concepts. Self-motivated, dependable, and able to manage multiple priorities. Committed to quality, continuous improvement, and delivering value on time and within scope. Communication Skills Excellent written, verbal, and interpersonal communication skills. Ability to translate complex technical concepts into clear, business-friendly language and vice versa. Skilled facilitator of meetings and workshops that drive alignment and actionable outcomes. Strong collaborator who builds effective relationships across business and technical teams. Working Conditions & Physical Requirements This position is primarily sedentary, desk-based work. On an infrequent basis, after hours/weekend work to assist with releases or project deadlines is necessary. Travel is less than 5%. Benefits At GreenPath, we offer a comprehensive benefits package designed to support your well-being and professional growth: Competitive salary and performance-based incentives Health, dental, and vision insurance 403(b) retirement plan with employer contributions Generous paid time off and holidays Tuition reimbursement and professional development opportunities Mission-driven work environment focused on making a positive impact Equal Employment Opportunity Statement GreenPath is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
09/25/2026
Full time
About GreenPath GreenPath Financial Wellness is a national nonprofit organization dedicated to empowering people to lead financially healthy lives. We provide counseling, education, and innovative solutions to help individuals and families achieve their financial goals. Our mission-driven culture values collaboration, integrity, and continuous improvement. Position Purpose The Business Analyst serves as a critical liaison between business stakeholders, Product Management, data teams, and IT delivery teams. This role is responsible for leading requirements gathering and analysis across both IT application and data initiatives, ensuring business needs are translated into clear, actionable specifications for system creation, enhancements, data solutions, reporting, and analytics. The Business Analyst partners closely with Product Managers, Product Owners and stakeholders to drive high-quality, user-centered solutions that align with organizational strategy and deliver measurable business value. Main Responsibilities & Duties Business & Requirements Analysis Elicit, analyze, and document clear functional and non functional requirements by partnering closely with Product Managers, Product Owners, business stakeholders and technical stakeholders Ask appropriate curiosity questions to uncover implicit needs (e.g., performance, security, scalability, usability, compliance) to resolve ambiguity and translate complex business problems into precise, testable requirements that reduce rework and drive high quality delivery. Translate needs into clear specifications, including requirements documents, user stories, acceptance criteria, and process diagrams. Identify requirements interdependencies and, as appropriate, work with the Product Owner, Scrum Master and/or technical team to determine development order. Document data lineage, transformations, and calculations in application requirements. Data & Analytics Requirements Analysis Lead requirements gathering for data initiatives, including reports, dashboards, visualizations, and analytics solutions. Lead the effort to document and control project scope and gather stakeholder signoff on scope and requirements Analyze and document source data structures, data transformations, and data warehouse mappings. Perform data discovery and validation to ensure reporting and analytics solutions meet business requirements. Create and maintain enterprise data assets such as data catalogs, data dictionaries, and data flow diagrams. Contribute to enterprise data strategy in collaboration with Data Engineers, Product Owners, and Data Analysts. Solution Delivery & Collaboration Work closely with Developers, Data Engineers, and Infrastructure teams to ensure shared understanding of requirements and solution design. Incorporate usability, user experience, and human-centered design principles into solution definition. Support agile delivery teams by maintaining backlogs, refining user stories, and providing ongoing clarification during development. Testing, Release & Change Enablement Contribute to user acceptance testing (UAT), including test case creation, execution support, and defect triage. Support release activities and deployments. Assist with training, documentation, and communication to support adoption of delivered solutions. Continuous Improvement & Innovation Leverage AI and automation tools to improve efficiency in creating requirements, user stories, and test artifacts. Participate in brainstorming and discovery sessions related to data trends, data quality, process improvement, and innovation. Promote continuous improvement, quality outcomes, and stakeholder satisfaction. Perform other duties as assigned. Professional Knowledge, Skills & Abilities Bachelor's degree in Information Technology, Business, or a related field, or equivalent experience. 3-5 years of experience as a business analyst, including requirements gathering for application development, data, reporting, or analytics initiatives. GreenPath experience may be substituted. Experience writing clear business and technical requirements and test specifications preferred. Experience with Agile methodologies (Scrum, Kanban) preferred. Experience using tools and/or writing requirements for salesforce or PowerBI strongly preferred. Familiarity with tools such as Azure DevOps, Vizio, Drawio, Figma, Mural, CoPilot preferred. Experience documenting requirements for data projects involving SQL, Power BI, and relational or dimensional data models preferred. Familiarity or eagerness to learn data warehousing, operational reporting, and business intelligence concepts. Experience in financial services or call center environments preferred. Qualities & Characteristics Strong analytical and problem-solving skills with high attention to detail. Demonstrated agility in critical thinking and proactive inquiry to gain deeper understanding. Ability to understand complex business processes and technical concepts. Self-motivated, dependable, and able to manage multiple priorities. Committed to quality, continuous improvement, and delivering value on time and within scope. Communication Skills Excellent written, verbal, and interpersonal communication skills. Ability to translate complex technical concepts into clear, business-friendly language and vice versa. Skilled facilitator of meetings and workshops that drive alignment and actionable outcomes. Strong collaborator who builds effective relationships across business and technical teams. Working Conditions & Physical Requirements This position is primarily sedentary, desk-based work. On an infrequent basis, after hours/weekend work to assist with releases or project deadlines is necessary. Travel is less than 5%. Benefits At GreenPath, we offer a comprehensive benefits package designed to support your well-being and professional growth: Competitive salary and performance-based incentives Health, dental, and vision insurance 403(b) retirement plan with employer contributions Generous paid time off and holidays Tuition reimbursement and professional development opportunities Mission-driven work environment focused on making a positive impact Equal Employment Opportunity Statement GreenPath is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs' collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at and about our values here. The Opportunity Want to build the data foundations behind how Superhuman measures and grows its business? As a Data Engineer on the Finance & Revenue team, you'll own the pipelines, models, and datasets that power revenue reporting across Superhuman's AI-native productivity platform: Grammarly's writing assistance, Mail, Docs, Databases, and Go. You'll partner closely with Finance, Revenue Operations, Analytics, and Engineering to turn billing, bookings, customer, and product-usage signals into reliable, decision-grade data. Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich and complex revenue data opportunity, with signals spanning billing systems, self-serve and enterprise motions, and cross-product customer usage. The data you model connects those surfaces to create a unified view of ARR, NRR, bookings, and revenue performance across the Superhuman Suite. This is a high-ownership, high-impact role at the intersection of data engineering, finance, and business strategy. You'll own revenue-critical systems end-to-end and contribute to the revenue attribution model, ensuring the company's most visible financial datasets are precise, accessible, and trusted. Your work will directly shape how leadership understands business performance and makes investment decisions. What you'll do Design, build, and own scalable data pipelines (Spark/Databricks) that ingest and model billing, subscription, payment, and bookings data across the Superhuman Suite. Build and maintain the foundational datasets for ARR, NRR, bookings, and other revenue metrics, ensuring the company has a consistent, trusted view of financial performance. Contribute to the revenue attribution model by building and maintaining the underlying datasets that connect product usage, customer lifecycle, and commercial signals into an explainable view of business performance. Model revenue data into clean, well-documented, reusable tables that Finance, Revenue Operations, analysts, and business partners can self-serve from. Own data quality, freshness, and reliability for revenue-critical datasets, with automated checks, monitoring, alerting, and reconciliation processes. Partner with Finance, Revenue Operations, Analytics Engineering, Product, and Engineering to translate business questions into robust data models and trustworthy metrics. Continuously improve the performance, cost efficiency, and developer experience of our finance and revenue data platform. You'll do this alongside partners across Finance, Revenue Operations, Analytics Engineering, Product, and Engineering. We think from first principles, challenging the familiar to reframe problems and reach sharper solutions, and win with grit, staying with the hardest problems through the messy middle. You'll have the freedom to own your systems and directly influence the roadmap, and the complexity of what you build will grow quickly as we scale. Qualifications You have 3+ years of experience building and operating production data pipelines and data platforms, ideally supporting finance, revenue, billing, or other business-critical analytical use cases. You're highly proficient in SQL and have strong data engineering foundations, with hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar). You have strong data modeling and data warehouse design skills, with the ability to transform complex business processes and source-system data into clear, reliable, and reusable datasets. You bring a rigorous approach to data quality, precision, observability, and reconciliation, especially for datasets used in revenue reporting and business decisions. You have experience with workflow orchestration and CI/CD for data (for example, Databricks Workflows or Airflow, with Git-based deployment). You're comfortable using AI-assisted development tools like Codex or Claude Code to move faster, and you have the judgment to validate and supervise their output. You communicate clearly and collaborate effectively with business partners, analysts, engineers, and leadership, translating smoothly between technical and business audiences. You care about business impact and enjoy turning ambiguous finance and revenue questions into reliable, scalable data products and trustworthy metrics. You're a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment. Nice to have Direct experience supporting Finance, Revenue Operations, or revenue analytics, including metrics such as ARR, NRR, bookings, billing, or revenue attribution. Experience ingesting or modeling data from Stripe or similar billing, payments, ERP, or subscription-management systems. Experience working with product-usage data, usage-based billing, or attribution models. A track record of building well-documented, self-serve data products that business and analytics teams rely on. Compensation and Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. US Zone 1 175,000 to 245,000 US Zone 2 157,000 to 220,500 We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
09/25/2026
Full time
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs' collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at and about our values here. The Opportunity Want to build the data foundations behind how Superhuman measures and grows its business? As a Data Engineer on the Finance & Revenue team, you'll own the pipelines, models, and datasets that power revenue reporting across Superhuman's AI-native productivity platform: Grammarly's writing assistance, Mail, Docs, Databases, and Go. You'll partner closely with Finance, Revenue Operations, Analytics, and Engineering to turn billing, bookings, customer, and product-usage signals into reliable, decision-grade data. Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich and complex revenue data opportunity, with signals spanning billing systems, self-serve and enterprise motions, and cross-product customer usage. The data you model connects those surfaces to create a unified view of ARR, NRR, bookings, and revenue performance across the Superhuman Suite. This is a high-ownership, high-impact role at the intersection of data engineering, finance, and business strategy. You'll own revenue-critical systems end-to-end and contribute to the revenue attribution model, ensuring the company's most visible financial datasets are precise, accessible, and trusted. Your work will directly shape how leadership understands business performance and makes investment decisions. What you'll do Design, build, and own scalable data pipelines (Spark/Databricks) that ingest and model billing, subscription, payment, and bookings data across the Superhuman Suite. Build and maintain the foundational datasets for ARR, NRR, bookings, and other revenue metrics, ensuring the company has a consistent, trusted view of financial performance. Contribute to the revenue attribution model by building and maintaining the underlying datasets that connect product usage, customer lifecycle, and commercial signals into an explainable view of business performance. Model revenue data into clean, well-documented, reusable tables that Finance, Revenue Operations, analysts, and business partners can self-serve from. Own data quality, freshness, and reliability for revenue-critical datasets, with automated checks, monitoring, alerting, and reconciliation processes. Partner with Finance, Revenue Operations, Analytics Engineering, Product, and Engineering to translate business questions into robust data models and trustworthy metrics. Continuously improve the performance, cost efficiency, and developer experience of our finance and revenue data platform. You'll do this alongside partners across Finance, Revenue Operations, Analytics Engineering, Product, and Engineering. We think from first principles, challenging the familiar to reframe problems and reach sharper solutions, and win with grit, staying with the hardest problems through the messy middle. You'll have the freedom to own your systems and directly influence the roadmap, and the complexity of what you build will grow quickly as we scale. Qualifications You have 3+ years of experience building and operating production data pipelines and data platforms, ideally supporting finance, revenue, billing, or other business-critical analytical use cases. You're highly proficient in SQL and have strong data engineering foundations, with hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar). You have strong data modeling and data warehouse design skills, with the ability to transform complex business processes and source-system data into clear, reliable, and reusable datasets. You bring a rigorous approach to data quality, precision, observability, and reconciliation, especially for datasets used in revenue reporting and business decisions. You have experience with workflow orchestration and CI/CD for data (for example, Databricks Workflows or Airflow, with Git-based deployment). You're comfortable using AI-assisted development tools like Codex or Claude Code to move faster, and you have the judgment to validate and supervise their output. You communicate clearly and collaborate effectively with business partners, analysts, engineers, and leadership, translating smoothly between technical and business audiences. You care about business impact and enjoy turning ambiguous finance and revenue questions into reliable, scalable data products and trustworthy metrics. You're a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment. Nice to have Direct experience supporting Finance, Revenue Operations, or revenue analytics, including metrics such as ARR, NRR, bookings, billing, or revenue attribution. Experience ingesting or modeling data from Stripe or similar billing, payments, ERP, or subscription-management systems. Experience working with product-usage data, usage-based billing, or attribution models. A track record of building well-documented, self-serve data products that business and analytics teams rely on. Compensation and Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. US Zone 1 175,000 to 245,000 US Zone 2 157,000 to 220,500 We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Mind Computing is seeking an experienced Principal Solutions Architect to support federal growth, capture, and solution development initiatives, with a primary focus on the Department of Veterans Affairs (VA), DoD, DHA, CMS, HHS, and other federal agencies. The ideal candidate will have strong experience designing enterprise technology solutions and translating complex federal requirements into practical, scalable, and differentiated architectures across healthcare IT, cloud, data, interoperability, DevSecOps, cybersecurity, and AI/Generative AI. The candidate must reside within the continental US. Responsibilities: Independently develop, write, and refine proposal-ready technical narratives for RFIs, RFQs, RFPs, task orders, white papers, and other federal pursuits, translating solicitation requirements and SME input into clear, persuasive, evaluator-focused responses. Develop and review technical proposal content, ensuring solutions are compliant, feasible, differentiated, and aligned with customer objectives and evaluation criteria. Partner with Growth, Capture, Proposal, Delivery, Engineering, Pricing, and Executive teams to develop technical solutions and win strategies. Lead and facilitate technical solutioning sessions, proposal reviews, color teams, oral presentations, and customer or partner discussions. Analyze solicitations, PWS/SOO, technical requirements, Q&A, and acquisition documents to identify customer objectives, technical risks, assumptions, and solution opportunities. Design and communicate enterprise architectures spanning application modernization, cloud, data, APIs, healthcare interoperability, DevSecOps, cybersecurity, and operations. Translate customer requirements into technical approaches, implementation strategies, workstreams, technologies, staffing models, and technical differentiators. Apply knowledge of VA technology and healthcare environments, including VistA, Corporate Data Warehouse (CDW), My HealtheVet (MHV), Federal EHR/Oracle Health, and related enterprise systems. Develop architecture diagrams, data flows, integration models, modernization roadmaps, conceptual designs, and other technical artifacts. Evaluate technologies, platforms, and potential partners to determine appropriate build, buy, reuse, integration, and teaming strategies. Provide technical guidance on emerging technologies and identify opportunities to apply AI and Generative AI to federal healthcare solutions. Leverage AI-assisted tools such as ChatGPT, Claude, GitHub Copilot, and similar platforms for technical research, requirements analysis, architecture development, software engineering, and proposal activities while validating outputs for accuracy and security. Support responsible AI practices, including data protection, human oversight, model evaluation, security, governance, and hallucination mitigation. Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project. Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field. 10+ years of experience in enterprise IT, software engineering, systems architecture, or related technical disciplines. 5+ years of experience in Solution Architecture, Enterprise Architecture, Technical Architecture, or comparable technical leadership roles. Significant experience supporting the Department of Veterans Affairs, preferably within VA healthcare, OIT, Digital Health, or major enterprise technology programs. Experience architecting, modernizing, integrating, or delivering complex enterprise or healthcare systems. Experience estimating technical staffing, labor categories, level of effort, and implementation timelines. Experience supporting federal capture, solution reviews, Black Hat, Pink/Red/Gold Team reviews, or oral proposal presentations. Strong technical writing skills with the ability to translate complex architectures into clear, persuasive, evaluator-focused content. Experience developing and presenting technical architectures, solution concepts, implementation approaches, and recommendations to technical and non-technical audiences. Current knowledge of AI/ML and Generative AI, including LLM applications, RAG, AI agents, prompt/context engineering, model evaluation, and responsible AI. Strong analytical, communication, facilitation, collaboration, and problem-solving skills. Strong knowledge across several of the following: Cloud architecture and modernization Application and legacy system modernization Microservices and API architecture Data architecture and analytics DevSecOps and CI/CD Healthcare interoperability Enterprise integration and event-driven architecture Cybersecurity and Zero Trust Production operations, scalability, resilience, and observability Additional Qualifications: Additional experience supporting DoD/DHA, CMS, HHS, or other federal healthcare programs. Prior federal/government experience. Experience with VA enterprise architecture, Technical Reference Model (TRM), ATO, security, or technical governance processes. Experience integrating legacy VA environments with modern cloud, API, data, and Federal EHR capabilities. Working knowledge of HL7, FHIR, REST APIs, and healthcare integration technologies. Experience with AWS and/or Microsoft Azure cloud environments. Familiarity with Shipley or APMP proposal methodologies. Relevant cloud, architecture, cybersecurity, healthcare IT, or AI certifications. Ability to meet applicable federal background investigation and suitability requirements, including Public Trust, and obtain and maintain a security clearance when required by the customer or opportunity. Benefits: Medical/Dental/Vision 401k with Employer Match PTO + Federal Holidays Corporate Laptop Training Opportunities Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process. Mind Computing is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. At this time, we are unable to offer sponsorship.
09/25/2026
Full time
Mind Computing is seeking an experienced Principal Solutions Architect to support federal growth, capture, and solution development initiatives, with a primary focus on the Department of Veterans Affairs (VA), DoD, DHA, CMS, HHS, and other federal agencies. The ideal candidate will have strong experience designing enterprise technology solutions and translating complex federal requirements into practical, scalable, and differentiated architectures across healthcare IT, cloud, data, interoperability, DevSecOps, cybersecurity, and AI/Generative AI. The candidate must reside within the continental US. Responsibilities: Independently develop, write, and refine proposal-ready technical narratives for RFIs, RFQs, RFPs, task orders, white papers, and other federal pursuits, translating solicitation requirements and SME input into clear, persuasive, evaluator-focused responses. Develop and review technical proposal content, ensuring solutions are compliant, feasible, differentiated, and aligned with customer objectives and evaluation criteria. Partner with Growth, Capture, Proposal, Delivery, Engineering, Pricing, and Executive teams to develop technical solutions and win strategies. Lead and facilitate technical solutioning sessions, proposal reviews, color teams, oral presentations, and customer or partner discussions. Analyze solicitations, PWS/SOO, technical requirements, Q&A, and acquisition documents to identify customer objectives, technical risks, assumptions, and solution opportunities. Design and communicate enterprise architectures spanning application modernization, cloud, data, APIs, healthcare interoperability, DevSecOps, cybersecurity, and operations. Translate customer requirements into technical approaches, implementation strategies, workstreams, technologies, staffing models, and technical differentiators. Apply knowledge of VA technology and healthcare environments, including VistA, Corporate Data Warehouse (CDW), My HealtheVet (MHV), Federal EHR/Oracle Health, and related enterprise systems. Develop architecture diagrams, data flows, integration models, modernization roadmaps, conceptual designs, and other technical artifacts. Evaluate technologies, platforms, and potential partners to determine appropriate build, buy, reuse, integration, and teaming strategies. Provide technical guidance on emerging technologies and identify opportunities to apply AI and Generative AI to federal healthcare solutions. Leverage AI-assisted tools such as ChatGPT, Claude, GitHub Copilot, and similar platforms for technical research, requirements analysis, architecture development, software engineering, and proposal activities while validating outputs for accuracy and security. Support responsible AI practices, including data protection, human oversight, model evaluation, security, governance, and hallucination mitigation. Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project. Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field. 10+ years of experience in enterprise IT, software engineering, systems architecture, or related technical disciplines. 5+ years of experience in Solution Architecture, Enterprise Architecture, Technical Architecture, or comparable technical leadership roles. Significant experience supporting the Department of Veterans Affairs, preferably within VA healthcare, OIT, Digital Health, or major enterprise technology programs. Experience architecting, modernizing, integrating, or delivering complex enterprise or healthcare systems. Experience estimating technical staffing, labor categories, level of effort, and implementation timelines. Experience supporting federal capture, solution reviews, Black Hat, Pink/Red/Gold Team reviews, or oral proposal presentations. Strong technical writing skills with the ability to translate complex architectures into clear, persuasive, evaluator-focused content. Experience developing and presenting technical architectures, solution concepts, implementation approaches, and recommendations to technical and non-technical audiences. Current knowledge of AI/ML and Generative AI, including LLM applications, RAG, AI agents, prompt/context engineering, model evaluation, and responsible AI. Strong analytical, communication, facilitation, collaboration, and problem-solving skills. Strong knowledge across several of the following: Cloud architecture and modernization Application and legacy system modernization Microservices and API architecture Data architecture and analytics DevSecOps and CI/CD Healthcare interoperability Enterprise integration and event-driven architecture Cybersecurity and Zero Trust Production operations, scalability, resilience, and observability Additional Qualifications: Additional experience supporting DoD/DHA, CMS, HHS, or other federal healthcare programs. Prior federal/government experience. Experience with VA enterprise architecture, Technical Reference Model (TRM), ATO, security, or technical governance processes. Experience integrating legacy VA environments with modern cloud, API, data, and Federal EHR capabilities. Working knowledge of HL7, FHIR, REST APIs, and healthcare integration technologies. Experience with AWS and/or Microsoft Azure cloud environments. Familiarity with Shipley or APMP proposal methodologies. Relevant cloud, architecture, cybersecurity, healthcare IT, or AI certifications. Ability to meet applicable federal background investigation and suitability requirements, including Public Trust, and obtain and maintain a security clearance when required by the customer or opportunity. Benefits: Medical/Dental/Vision 401k with Employer Match PTO + Federal Holidays Corporate Laptop Training Opportunities Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process. Mind Computing is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. At this time, we are unable to offer sponsorship.
The Doctors Company is seeking a Manager Engineering & Sr Data Architect to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or ProAssurance office location. The Manager Engineering & Sr Data Architect will lead the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. This is a team leader role that supervises a team of data engineers, analytics engineers, and architects. The role owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team. Qualifications: Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered. 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production. 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change. Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention. Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance). Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning. Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience. Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred. People Leadership, Performance & Team Development Clearly define and communicate team roles, expectations, and responsibilities. Provide coaching, guidance, and support to help employees achieve performance and development goals Deliver consistent, constructive, feedback to recognize achievements, address challenges, and reinforce desired behaviors. Conduct regular 1:1 meeting and ensure timely completion of performance review cycles, maintaining alignment and accountability. Hold staff accountable for compliance with organizational policies and standards. Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities. Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them. Microsoft Fabric Architecture & Platform Delivery Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities. Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting. Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns. Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails. Enterprise Data, Semantic Model & Integration Architecture Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains. Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS. Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment. Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns. Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards. Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame. Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns. Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value. Strategic Partnership, Communication & Change Leadership Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences. Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies. Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment. Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement. Learning, Development, & Compliance Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Other Duties as Assigned Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Salary Range: $124,548 - $163,879. This position is eligible for participation in the Company's Short-Term Incentive Plan (STIP), offering additional compensation driven by individual and company performance. Compensation is determined based on factors such as skills, experience, education, and market considerations. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. Salary may also include additional geographic differential for employees working in higher-cost labor markets, including states such as New York and California. While the posted range reflects our anticipated hiring range, we remain open to considering candidates with exceptional qualifications, specialized expertise, or directly relevant experience that may warrant compensation outside of that range. Benefits We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more: Health, dental, and vision insurance Health care tax-free spending accounts with a company match 401(k) and Roth IRA with company match, as well as catch-up plans for both Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service) Paid holidays each calendar year Life and travel insurance Tax-free commuter benefits In-person and online learning opportunities Cross-function career opportunities Business casual work environment Time off to volunteer Matching donations to qualifying nonprofit organizations . click apply for full job details
09/25/2026
Full time
The Doctors Company is seeking a Manager Engineering & Sr Data Architect to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or ProAssurance office location. The Manager Engineering & Sr Data Architect will lead the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. This is a team leader role that supervises a team of data engineers, analytics engineers, and architects. The role owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team. Qualifications: Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered. 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production. 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change. Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention. Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance). Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning. Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience. Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred. People Leadership, Performance & Team Development Clearly define and communicate team roles, expectations, and responsibilities. Provide coaching, guidance, and support to help employees achieve performance and development goals Deliver consistent, constructive, feedback to recognize achievements, address challenges, and reinforce desired behaviors. Conduct regular 1:1 meeting and ensure timely completion of performance review cycles, maintaining alignment and accountability. Hold staff accountable for compliance with organizational policies and standards. Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities. Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them. Microsoft Fabric Architecture & Platform Delivery Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities. Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting. Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns. Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails. Enterprise Data, Semantic Model & Integration Architecture Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains. Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS. Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment. Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns. Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards. Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame. Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns. Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value. Strategic Partnership, Communication & Change Leadership Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences. Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies. Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment. Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement. Learning, Development, & Compliance Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Other Duties as Assigned Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Salary Range: $124,548 - $163,879. This position is eligible for participation in the Company's Short-Term Incentive Plan (STIP), offering additional compensation driven by individual and company performance. Compensation is determined based on factors such as skills, experience, education, and market considerations. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. Salary may also include additional geographic differential for employees working in higher-cost labor markets, including states such as New York and California. While the posted range reflects our anticipated hiring range, we remain open to considering candidates with exceptional qualifications, specialized expertise, or directly relevant experience that may warrant compensation outside of that range. Benefits We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more: Health, dental, and vision insurance Health care tax-free spending accounts with a company match 401(k) and Roth IRA with company match, as well as catch-up plans for both Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service) Paid holidays each calendar year Life and travel insurance Tax-free commuter benefits In-person and online learning opportunities Cross-function career opportunities Business casual work environment Time off to volunteer Matching donations to qualifying nonprofit organizations . click apply for full job details
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro's Direct-to-Consumer (DTC) platform connects fans worldwide through seamless, intelligent, and data-driven digital commerce experiences. As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the unified analytics foundation that enables Hasbro's DTC-as-a-Service (DTCaaS) model, delivering shared infrastructure, standardized measurement, and actionable intelligence across Pulse, D&D Beyond, and future brand storefronts. This role blends strategic leadership with technical depth to ensure our data capabilities scale with the business and elevate fan experience, product performance, and operational efficiency. You will champion enterprise-wide data literacy, foster a culture of data-informed decision-making, and establish clear ROI frameworks to measure and communicate the impact of analytics investments. This role is a hybrid role based in Renton, WA with three days a week expected in office. What You'll Do Build the Analytics Foundation for DTCaaS Define the unified data architecture across our eCommerce platform and integrated systems. Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance. Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands. Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service). Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights. Deliver Scalable, Reusable Insights Products Build automated reporting and insight tools for leadership reviews, business insights, and operational actions. Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations. Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. Create self-service analytics capabilities that empower teams while maintaining governance and data quality. Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact. Drive Operational Intelligence and Cost Transparency Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation. Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements. Improve business insights, merchandising insights, and logistics planning across regions. Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals. Lead and Grow a High-Performing Analytics Organization Lead business intelligence engineering and analytics talent across multiple domains. Mentor and develop team members while promoting excellence, collaboration, and innovation. Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions. Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making. Influence leadership through clear storytelling, strategic framing, and data-driven recommendations. Shape the Future of Hasbro's Data & Analytics Capabilities Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation). Define long-term principles and architectures that scale across brands, markets, and product lines. Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights. Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines. Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem. Minimum Qualifications 10+ years of experience in data analytics, BI, analytics engineering, or data engineering. 5+ years leading multi-disciplinary analytics or data teams. Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms. Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations. Experience partnering with engineering and product teams to influence data models, instrumentation, and system design. Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders. Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on. Demonstrated success delivering measurable business impact through analytics Preferred Qualifications Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives. Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems. Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows. Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $195,900-$293,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
09/25/2026
Full time
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro's Direct-to-Consumer (DTC) platform connects fans worldwide through seamless, intelligent, and data-driven digital commerce experiences. As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the unified analytics foundation that enables Hasbro's DTC-as-a-Service (DTCaaS) model, delivering shared infrastructure, standardized measurement, and actionable intelligence across Pulse, D&D Beyond, and future brand storefronts. This role blends strategic leadership with technical depth to ensure our data capabilities scale with the business and elevate fan experience, product performance, and operational efficiency. You will champion enterprise-wide data literacy, foster a culture of data-informed decision-making, and establish clear ROI frameworks to measure and communicate the impact of analytics investments. This role is a hybrid role based in Renton, WA with three days a week expected in office. What You'll Do Build the Analytics Foundation for DTCaaS Define the unified data architecture across our eCommerce platform and integrated systems. Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance. Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands. Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service). Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights. Deliver Scalable, Reusable Insights Products Build automated reporting and insight tools for leadership reviews, business insights, and operational actions. Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations. Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. Create self-service analytics capabilities that empower teams while maintaining governance and data quality. Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact. Drive Operational Intelligence and Cost Transparency Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation. Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements. Improve business insights, merchandising insights, and logistics planning across regions. Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals. Lead and Grow a High-Performing Analytics Organization Lead business intelligence engineering and analytics talent across multiple domains. Mentor and develop team members while promoting excellence, collaboration, and innovation. Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions. Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making. Influence leadership through clear storytelling, strategic framing, and data-driven recommendations. Shape the Future of Hasbro's Data & Analytics Capabilities Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation). Define long-term principles and architectures that scale across brands, markets, and product lines. Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights. Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines. Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem. Minimum Qualifications 10+ years of experience in data analytics, BI, analytics engineering, or data engineering. 5+ years leading multi-disciplinary analytics or data teams. Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms. Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations. Experience partnering with engineering and product teams to influence data models, instrumentation, and system design. Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders. Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on. Demonstrated success delivering measurable business impact through analytics Preferred Qualifications Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives. Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems. Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows. Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $195,900-$293,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday - working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What you'll do SimpliSafe's Enterprise Information Systems team is on a mission to improve how our customers learn about our product, interacting with our website and other sales channels throughout the sales funnel. Our teams ensure that customers quickly receive their home security system to meet our company mission of Every Home Secure. From informing our customers about our product, providing a seamless checkout experience, and delivering that product to their door, our team is focused on delivering the best experience for our customers powered by a platform focused on testability, performance, and reliability. As a Staff Front End Software Engineer, you'll help shape the future of our e-commerce codebase by focusing on developer experience and long-term engineering vision by: Building solutions for our e-commerce platform including design, development, testing, and deployment Using the best tools for the job; creating right-sized, tested, and reliable services to meet the needs of the customers and co-workers Working with marketing teams to ensure a high quality, fast, and easy online shopping experience for our customers Working with our data analytics team to ensure we are capturing and leveraging the information we need to drive business decisions Working with operations teams to communicate with fulfillment and shipping services that power our warehouses Working with our QA engineers to ensure we run quality E2E tests during each stage of CI/CD Building reporting services and self-service internal tools for use by others to expand SimpliSafe's capabilities About You 8+ years of professional experience developing software and business solutions Ability to provide examples of leading or developing full-stack solutions from concept to completion Proven ability to mentor engineers, drive technical decision-making, and set standards that elevate the team's engineering quality Expert experience with React and modern JavaScript frameworks (Remix, Next.js, React Router), including rendering strategies (SSR, CSR, SSG) and scalable client/server architecture design Experience with design systems, component libraries, and structuring a large scale React application Deep expertise in Node.js and TypeScript, with a strong track record of building and scaling production applications Experience designing and implementing backend services with REST and GraphQL APIs using frameworks like NestJS or Express.js Knowledge of SQL including experience with ORM (TypeORM, Prisma, or others), query optimization, and schema design Experienced cloud-native developer (AWS preferred), focused on creating scalable services using performant architecture patterns and tools including infrastructure as code technologies Experience leveraging AI tools and integrations to accelerate development workflows and automate business processes A collaborative team player with Agile experience and a commitment to continuous delivery of high-quality software Passion for building new things as well as integrating with existing data and third party systems Nice To Have Skills E-Commerce experience, commercetools a plus Knowledge of containerization including Docker, Kubernetes, or ECS Experience with Contentful or other CMS including content modeling Experience with A/B testing platforms such as Contentful Personalization or Optimizely Experience with edge runtimes(Cloudflare Workers, Vercel Edge) Familiarity with OpenTelemetry or APM tooling (Grafana, New Relic, Datadog) applied to Node.js server performance What Values You'll Share Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them. Aim High - Always challenging ourselves and others to raise the bar. No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style. One Team - Taking a highly collaborative approach to achieving success. Lift As We Climb - Investing in developing others and helping others around us succeed. Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment. What We Offer A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here ) Free SimpliSafe system and professional monitoring for your home. Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change. The target annual base pay range for this role is $146,600 to $195,500. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .
09/25/2026
Full time
About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday - working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What you'll do SimpliSafe's Enterprise Information Systems team is on a mission to improve how our customers learn about our product, interacting with our website and other sales channels throughout the sales funnel. Our teams ensure that customers quickly receive their home security system to meet our company mission of Every Home Secure. From informing our customers about our product, providing a seamless checkout experience, and delivering that product to their door, our team is focused on delivering the best experience for our customers powered by a platform focused on testability, performance, and reliability. As a Staff Front End Software Engineer, you'll help shape the future of our e-commerce codebase by focusing on developer experience and long-term engineering vision by: Building solutions for our e-commerce platform including design, development, testing, and deployment Using the best tools for the job; creating right-sized, tested, and reliable services to meet the needs of the customers and co-workers Working with marketing teams to ensure a high quality, fast, and easy online shopping experience for our customers Working with our data analytics team to ensure we are capturing and leveraging the information we need to drive business decisions Working with operations teams to communicate with fulfillment and shipping services that power our warehouses Working with our QA engineers to ensure we run quality E2E tests during each stage of CI/CD Building reporting services and self-service internal tools for use by others to expand SimpliSafe's capabilities About You 8+ years of professional experience developing software and business solutions Ability to provide examples of leading or developing full-stack solutions from concept to completion Proven ability to mentor engineers, drive technical decision-making, and set standards that elevate the team's engineering quality Expert experience with React and modern JavaScript frameworks (Remix, Next.js, React Router), including rendering strategies (SSR, CSR, SSG) and scalable client/server architecture design Experience with design systems, component libraries, and structuring a large scale React application Deep expertise in Node.js and TypeScript, with a strong track record of building and scaling production applications Experience designing and implementing backend services with REST and GraphQL APIs using frameworks like NestJS or Express.js Knowledge of SQL including experience with ORM (TypeORM, Prisma, or others), query optimization, and schema design Experienced cloud-native developer (AWS preferred), focused on creating scalable services using performant architecture patterns and tools including infrastructure as code technologies Experience leveraging AI tools and integrations to accelerate development workflows and automate business processes A collaborative team player with Agile experience and a commitment to continuous delivery of high-quality software Passion for building new things as well as integrating with existing data and third party systems Nice To Have Skills E-Commerce experience, commercetools a plus Knowledge of containerization including Docker, Kubernetes, or ECS Experience with Contentful or other CMS including content modeling Experience with A/B testing platforms such as Contentful Personalization or Optimizely Experience with edge runtimes(Cloudflare Workers, Vercel Edge) Familiarity with OpenTelemetry or APM tooling (Grafana, New Relic, Datadog) applied to Node.js server performance What Values You'll Share Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them. Aim High - Always challenging ourselves and others to raise the bar. No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style. One Team - Taking a highly collaborative approach to achieving success. Lift As We Climb - Investing in developing others and helping others around us succeed. Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment. What We Offer A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here ) Free SimpliSafe system and professional monitoring for your home. Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change. The target annual base pay range for this role is $146,600 to $195,500. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .
We are seeking a Data Architect to provide senior technical leadership in designing and evolving complex, scalable, high-performance data platforms that support advanced analytics, AI/ML, and business intelligence. Leverage deep expertise in Databricks and Azure data ecosystems to define architecture and engineering standards, guide implementation, and ensure solutions are secure, reliable, and built for long-term growth. The Data Architect will shape data strategy, mentor senior engineers, and partner with cross-functional leaders to align technology decisions with business objectives. Responsibilities: Lead the architectural design and development of enterprise-grade data platforms using Databricks, Delta Lake, and Azure Data Services. Define and enforce technical standards, design principles, and best practices across data engineering to promote consistency, reusability, scalability, and maintainability. Architect and optimize modern data warehouse and lakehouse solutions incorporating Snowflake, star schemas, and distributed data systems. Guide the integration of real-time and batch data pipelines to support advanced analytics, ML model training, and reporting use cases. Design and implement secure, compliant, and high-performance data architectures that support data governance, privacy, and access-control standards. Provide technical leadership in implementing infrastructure as code, automated pipeline orchestration, and observability practices. Evaluate emerging data technologies, cloud capabilities, and design patterns, recommending adoption where appropriate. Mentor senior and mid-level data engineers, promote architectural rigor, and foster a culture of continuous learning and technical excellence. Collaborate with data scientists, BI developers, enterprise architects, and business stakeholders to deliver aligned, high-impact solutions. Develop and maintain architectural documentation, including design blueprints, system diagrams, and roadmaps. Lead proof-of-concept efforts, technical deep dives, and architecture reviews to validate approaches and guide high-risk technical decisions. Troubleshoot complex architectural and performance issues within the data ecosystem, ensuring resilience, cost efficiency, and overall system health. Promote modern data architecture practices through internal and external forums, technical presentations, and other knowledge-sharing opportunities. Perform other duties as required. Qualifications: 8-12 years of progressive experience in data engineering, with extensive experience leading the architecture and implementation of large-scale, cloud-native data solutions. Expert-level proficiency with Databricks, including Delta Live Tables, Unity Catalog, and Spark performance tuning, as well as Azure Data Services such as Azure Data Factory and Event Hubs. Mastery of data modeling, data warehousing, and big data processing, including dimensional modeling, streaming architectures, and data lakehouse patterns. Strong understanding of data governance, metadata management, security, and regulatory compliance in cloud environments. Familiarity with modern orchestration tools, infrastructure as code-including Terraform and Azure Resource Manager-and monitoring frameworks. Deep knowledge of Python, SQL, Spark, and distributed data systems. Understanding of how to architect systems that support downstream AI/ML and business intelligence consumption layers. Ability to evaluate emerging tools, cloud features, and frameworks and apply them to evolving business needs. Proven track record of providing technical leadership on high-impact projects, mentoring senior engineers, and influencing enterprise data strategies. Exceptional technical leadership and collaboration skills, with the ability to guide teams and align architecture with business strategy. Advanced architectural design skills focused on performance, scalability, resilience, security, and cost optimization. Strong analytical and problem-solving capabilities, particularly when addressing complex, cross-platform data challenges. Excellent written, verbal, and presentation skills for communicating with technical and non-technical stakeholders. Demonstrated ability to influence strategic direction and drive innovation in a fast-paced, evolving technical environment. Highly organized, with the ability to manage competing priorities across teams and initiatives. Bachelor's degree in computer science, data engineering, information systems, or a related technical field is required; an advanced degree is preferred. Industry certifications such as Databricks Certified Data Engineer Professional, Microsoft Fabric Data Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Founded in 1991, Rooms To Go is one of the largest and fastest growing furniture retailers in the US with over 250 stores in ten southern states, eight distribution centers and an e-commerce business. Rooms To Go offers a collaborative work environment within a supportive culture. Rooms To Go Benefits: Medical, dental, and vision insurance 401(k) with company match Associate discounts including furniture Company paid life and disability insurance Paid time off Employee Assistance Program Wellness Programs And more! Rooms To Go is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws Applicants must be authorized to work in the U.S.
09/25/2026
Full time
We are seeking a Data Architect to provide senior technical leadership in designing and evolving complex, scalable, high-performance data platforms that support advanced analytics, AI/ML, and business intelligence. Leverage deep expertise in Databricks and Azure data ecosystems to define architecture and engineering standards, guide implementation, and ensure solutions are secure, reliable, and built for long-term growth. The Data Architect will shape data strategy, mentor senior engineers, and partner with cross-functional leaders to align technology decisions with business objectives. Responsibilities: Lead the architectural design and development of enterprise-grade data platforms using Databricks, Delta Lake, and Azure Data Services. Define and enforce technical standards, design principles, and best practices across data engineering to promote consistency, reusability, scalability, and maintainability. Architect and optimize modern data warehouse and lakehouse solutions incorporating Snowflake, star schemas, and distributed data systems. Guide the integration of real-time and batch data pipelines to support advanced analytics, ML model training, and reporting use cases. Design and implement secure, compliant, and high-performance data architectures that support data governance, privacy, and access-control standards. Provide technical leadership in implementing infrastructure as code, automated pipeline orchestration, and observability practices. Evaluate emerging data technologies, cloud capabilities, and design patterns, recommending adoption where appropriate. Mentor senior and mid-level data engineers, promote architectural rigor, and foster a culture of continuous learning and technical excellence. Collaborate with data scientists, BI developers, enterprise architects, and business stakeholders to deliver aligned, high-impact solutions. Develop and maintain architectural documentation, including design blueprints, system diagrams, and roadmaps. Lead proof-of-concept efforts, technical deep dives, and architecture reviews to validate approaches and guide high-risk technical decisions. Troubleshoot complex architectural and performance issues within the data ecosystem, ensuring resilience, cost efficiency, and overall system health. Promote modern data architecture practices through internal and external forums, technical presentations, and other knowledge-sharing opportunities. Perform other duties as required. Qualifications: 8-12 years of progressive experience in data engineering, with extensive experience leading the architecture and implementation of large-scale, cloud-native data solutions. Expert-level proficiency with Databricks, including Delta Live Tables, Unity Catalog, and Spark performance tuning, as well as Azure Data Services such as Azure Data Factory and Event Hubs. Mastery of data modeling, data warehousing, and big data processing, including dimensional modeling, streaming architectures, and data lakehouse patterns. Strong understanding of data governance, metadata management, security, and regulatory compliance in cloud environments. Familiarity with modern orchestration tools, infrastructure as code-including Terraform and Azure Resource Manager-and monitoring frameworks. Deep knowledge of Python, SQL, Spark, and distributed data systems. Understanding of how to architect systems that support downstream AI/ML and business intelligence consumption layers. Ability to evaluate emerging tools, cloud features, and frameworks and apply them to evolving business needs. Proven track record of providing technical leadership on high-impact projects, mentoring senior engineers, and influencing enterprise data strategies. Exceptional technical leadership and collaboration skills, with the ability to guide teams and align architecture with business strategy. Advanced architectural design skills focused on performance, scalability, resilience, security, and cost optimization. Strong analytical and problem-solving capabilities, particularly when addressing complex, cross-platform data challenges. Excellent written, verbal, and presentation skills for communicating with technical and non-technical stakeholders. Demonstrated ability to influence strategic direction and drive innovation in a fast-paced, evolving technical environment. Highly organized, with the ability to manage competing priorities across teams and initiatives. Bachelor's degree in computer science, data engineering, information systems, or a related technical field is required; an advanced degree is preferred. Industry certifications such as Databricks Certified Data Engineer Professional, Microsoft Fabric Data Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Founded in 1991, Rooms To Go is one of the largest and fastest growing furniture retailers in the US with over 250 stores in ten southern states, eight distribution centers and an e-commerce business. Rooms To Go offers a collaborative work environment within a supportive culture. Rooms To Go Benefits: Medical, dental, and vision insurance 401(k) with company match Associate discounts including furniture Company paid life and disability insurance Paid time off Employee Assistance Program Wellness Programs And more! Rooms To Go is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws Applicants must be authorized to work in the U.S.
Work Authorization Candidates must currently reside in the Pittsburgh area and be available for a hybrid schedule. This opportunity is for direct hire only and is not available for C2C, third-party submissions, or visa sponsorship Data Scientist We are seeking a versatile Data Scientist to join our team in Pittsburgh, PA. This is a direct hire position offering a hybrid work schedule for candidates who currently reside in the Pittsburgh area. This role is not open to C2C, visa sponsorship, or third parties. Role Overview In this role, you will design, build, and optimize data pipelines while also delivering advanced analytics, predictive modeling, and business insights. You will work across modern cloud platforms and leverage Microsoft Fabric to unify data engineering, analytics, and business intelligence efforts. Microsoft Fabric's integrated ecosystem supports OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI, making it well suited for this type of end-to-end analytics work. Key Responsibilities Design, develop, and maintain interactive dashboards and analytical solutions in Power BI, including Direct Lake semantic models, Copilot-enabled experiences, paginated reports, and executive scorecards. Power BI Copilot provides chat-based analysis and support for tasks such as DAX generation and on-the-fly analysis. Build KPI-driven dashboards for pricing analytics, POS sales trends, inventory optimization, supply chain performance, customer purchasing behavior, and branch/DC operational analytics. Enable self-service analytics through governed semantic models, curated datasets, and reusable reporting assets. Direct Lake semantic models are optimized for large data volumes in Fabric. Develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI / OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated tooling. Support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases. Work extensively within the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream / Real-Time Intelligence, Spark notebooks, semantic models, and Power BI. Support ingestion and transformation of enterprise data from Oracle, SQL Server, APIs, SaaS platforms, XML/JSON log files, and event streaming platforms. Partner with Pricing, Sales, Supply Chain, Operations, and IT teams to translate business needs into technical analytics solutions and present findings to leadership. Contribute to enterprise data modernization and cloud transformation initiatives. Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related field. 3-5 years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytics role. Strong experience with Power BI, SQL, data modeling, and dashboard development. Experience with Microsoft Azure and Microsoft Fabric. Proficiency in Python for analytics and data manipulation. Experience working with large enterprise datasets. Preferred Qualifications Experience with Microsoft Fabric services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models. Familiarity with machine learning frameworks and core AI/ML concepts. Knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale/distribution analytics. Experience with REST APIs, event streaming, Kafka/Event Hub, and XML/JSON data processing. Familiarity with cloud data warehouse modernization initiatives. Microsoft certifications in Azure, Power BI, Fabric, or Data Engineering are a plus. Technical Skills Required Preferred Required Preferred Power BI Microsoft Fabric SQL Azure Synapse Python Spark / PySpark Data Modeling Dataflows Gen2 DAX OneLake ETL/ELT Concepts Azure Data Factory Dashboard Development Azure Event Hub REST APIs AI/ML Tooling By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/24/2026
Full time
Work Authorization Candidates must currently reside in the Pittsburgh area and be available for a hybrid schedule. This opportunity is for direct hire only and is not available for C2C, third-party submissions, or visa sponsorship Data Scientist We are seeking a versatile Data Scientist to join our team in Pittsburgh, PA. This is a direct hire position offering a hybrid work schedule for candidates who currently reside in the Pittsburgh area. This role is not open to C2C, visa sponsorship, or third parties. Role Overview In this role, you will design, build, and optimize data pipelines while also delivering advanced analytics, predictive modeling, and business insights. You will work across modern cloud platforms and leverage Microsoft Fabric to unify data engineering, analytics, and business intelligence efforts. Microsoft Fabric's integrated ecosystem supports OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI, making it well suited for this type of end-to-end analytics work. Key Responsibilities Design, develop, and maintain interactive dashboards and analytical solutions in Power BI, including Direct Lake semantic models, Copilot-enabled experiences, paginated reports, and executive scorecards. Power BI Copilot provides chat-based analysis and support for tasks such as DAX generation and on-the-fly analysis. Build KPI-driven dashboards for pricing analytics, POS sales trends, inventory optimization, supply chain performance, customer purchasing behavior, and branch/DC operational analytics. Enable self-service analytics through governed semantic models, curated datasets, and reusable reporting assets. Direct Lake semantic models are optimized for large data volumes in Fabric. Develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI / OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated tooling. Support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases. Work extensively within the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream / Real-Time Intelligence, Spark notebooks, semantic models, and Power BI. Support ingestion and transformation of enterprise data from Oracle, SQL Server, APIs, SaaS platforms, XML/JSON log files, and event streaming platforms. Partner with Pricing, Sales, Supply Chain, Operations, and IT teams to translate business needs into technical analytics solutions and present findings to leadership. Contribute to enterprise data modernization and cloud transformation initiatives. Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related field. 3-5 years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytics role. Strong experience with Power BI, SQL, data modeling, and dashboard development. Experience with Microsoft Azure and Microsoft Fabric. Proficiency in Python for analytics and data manipulation. Experience working with large enterprise datasets. Preferred Qualifications Experience with Microsoft Fabric services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models. Familiarity with machine learning frameworks and core AI/ML concepts. Knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale/distribution analytics. Experience with REST APIs, event streaming, Kafka/Event Hub, and XML/JSON data processing. Familiarity with cloud data warehouse modernization initiatives. Microsoft certifications in Azure, Power BI, Fabric, or Data Engineering are a plus. Technical Skills Required Preferred Required Preferred Power BI Microsoft Fabric SQL Azure Synapse Python Spark / PySpark Data Modeling Dataflows Gen2 DAX OneLake ETL/ELT Concepts Azure Data Factory Dashboard Development Azure Event Hub REST APIs AI/ML Tooling By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
09/24/2026
Full time
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
Southern Glazer's Wine & Spirits seeks a Staff Data Engineer to design and optimize scalable data platforms supporting wholesale distribution, sales, and supply chain analytics. You will own end-to-end data pipelines, from ingestion and modeling to performance tuning and governance across cloud data warehouses. Partner with analytics, IT, and business stakeholders to deliver trusted datasets, real-time reporting, and advanced analytics capabilities. Mentor other engineers, champion best practices, and help shape a people-first, high-performing data culture in a fast-paced environment. Responsibilities Design, build, and maintain scalable, secure data pipelines and integrations across enterprise systems Develop and optimize cloud-based data warehouses, models, and schemas to support analytics and reporting Implement data quality checks, monitoring, and governance to ensure reliable, trusted datasets Collaborate with analytics, IT, and business teams to translate requirements into robust data solutions Mentor and guide other data engineers, promoting best practices, standards, and code reviews Support advanced analytics, BI, and data science initiatives with well-structured, performant data Troubleshoot and resolve data issues, performance bottlenecks, and pipeline failures in a timely manner Required Skills Data pipeline design and development SQL and performance tuning Cloud data warehousing (e.g., Snowflake, Redshift, Big Query) ETL/ELT tools (e.g., dbt, Airflow, Informatica) Data modeling (star, snowflake, normalized models) Python or Scala programming Data governance and data quality frameworks Batch and streaming data processing Version control and CI/CD for data projects BI/reporting integration and data serving
09/24/2026
Full time
Southern Glazer's Wine & Spirits seeks a Staff Data Engineer to design and optimize scalable data platforms supporting wholesale distribution, sales, and supply chain analytics. You will own end-to-end data pipelines, from ingestion and modeling to performance tuning and governance across cloud data warehouses. Partner with analytics, IT, and business stakeholders to deliver trusted datasets, real-time reporting, and advanced analytics capabilities. Mentor other engineers, champion best practices, and help shape a people-first, high-performing data culture in a fast-paced environment. Responsibilities Design, build, and maintain scalable, secure data pipelines and integrations across enterprise systems Develop and optimize cloud-based data warehouses, models, and schemas to support analytics and reporting Implement data quality checks, monitoring, and governance to ensure reliable, trusted datasets Collaborate with analytics, IT, and business teams to translate requirements into robust data solutions Mentor and guide other data engineers, promoting best practices, standards, and code reviews Support advanced analytics, BI, and data science initiatives with well-structured, performant data Troubleshoot and resolve data issues, performance bottlenecks, and pipeline failures in a timely manner Required Skills Data pipeline design and development SQL and performance tuning Cloud data warehousing (e.g., Snowflake, Redshift, Big Query) ETL/ELT tools (e.g., dbt, Airflow, Informatica) Data modeling (star, snowflake, normalized models) Python or Scala programming Data governance and data quality frameworks Batch and streaming data processing Version control and CI/CD for data projects BI/reporting integration and data serving
Southern Glazer's Wine & Spirits seeks a Senior Unified Data Semantic Engineer to design and maintain semantic data models powering analytics across wholesale distribution, sales, and supply chain. You will architect knowledge graphs, standardize data definitions, and integrate data from ERP, CRM, logistics, and finance platforms. Partner with data engineers, BI developers, and business leaders to deliver governed metrics, high-quality datasets, and reusable semantic layers that support self-service analytics, regulatory reporting, and strategic decision-making in a fast-paced, people-first culture. Responsibilities Design and maintain unified semantic data models and governed metrics for enterprise analytics Integrate and standardize data from ERP, CRM, logistics, and finance systems Collaborate with data engineers to build scalable, high-quality data pipelines and warehouses Define and manage business glossaries, ontologies, and metadata for key domains Partner with BI teams to enable self-service analytics and trusted reporting Ensure data quality, consistency, and compliance with governance standards Optimize semantic layers for performance, usability, and reusability Provide technical leadership, mentoring, and best practices for semantic modeling Required Skills Data modeling Semantic layer design (dbt/Look ML/semantic tools) SQLPython or Scala Knowledge graphs/Ontologies Data warehousing (Snowflake/Redshift/Big Query) ETL/ELT pipelines Master data management Data governance & metadata Cloud platforms (AWS/Azure/GCP)
09/24/2026
Full time
Southern Glazer's Wine & Spirits seeks a Senior Unified Data Semantic Engineer to design and maintain semantic data models powering analytics across wholesale distribution, sales, and supply chain. You will architect knowledge graphs, standardize data definitions, and integrate data from ERP, CRM, logistics, and finance platforms. Partner with data engineers, BI developers, and business leaders to deliver governed metrics, high-quality datasets, and reusable semantic layers that support self-service analytics, regulatory reporting, and strategic decision-making in a fast-paced, people-first culture. Responsibilities Design and maintain unified semantic data models and governed metrics for enterprise analytics Integrate and standardize data from ERP, CRM, logistics, and finance systems Collaborate with data engineers to build scalable, high-quality data pipelines and warehouses Define and manage business glossaries, ontologies, and metadata for key domains Partner with BI teams to enable self-service analytics and trusted reporting Ensure data quality, consistency, and compliance with governance standards Optimize semantic layers for performance, usability, and reusability Provide technical leadership, mentoring, and best practices for semantic modeling Required Skills Data modeling Semantic layer design (dbt/Look ML/semantic tools) SQLPython or Scala Knowledge graphs/Ontologies Data warehousing (Snowflake/Redshift/Big Query) ETL/ELT pipelines Master data management Data governance & metadata Cloud platforms (AWS/Azure/GCP)
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
09/24/2026
Full time
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
09/24/2026
Full time
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency. Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity. Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams. What you need Required Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field. 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development. Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment. Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks. Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions. Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models. Experience with API integrations, REST services, authentication, security, data governance, and production support practices. Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority. Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions. Preferred Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field. Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment. Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale. Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics. Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development. Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation. Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights. Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives. Experience with Power BI, Tableau, or similar business intelligence and visualization tools. Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases. United States of America Pay Ranges: USN: $118,000 - $196,700 USD Annual US5: $123,900 - $206,500 USD Annual US10: $129,800 - $216,400 USD Annual US15: $135,700 - $226,200 USD Annual US20: $141,600 - $236,000 USD Annual US30: $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business - including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem - not the business data or business logic that runs on top of them. This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects. Key Responsibilities Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost. Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies Familiarity with CI/CD tooling and practices for platform and infrastructure automation Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments Understanding of metadata management, data cataloging, and data governance principles Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems Ability to create clear documentation, SOPs, and standards that other engineers can follow Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams Self-starter who stays current with emerging data platform technologies and proactively recommends improvements $108,000 - $164,000 a year $108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more. WORK AUTHORIZATION HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time. EEO STATEMENT The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
Fitch Group is currently seeking a Senior Engineer - Data Platforms & Full Stack Applications based out of our New York office. About Fitch Group: As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team: Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Driven by investment in cutting-edge technologies like AI and cloud solutions, we're home to diverse roles united by a passion for leveraging modern technology to drive projects that matter. How You'll Make an Impact: Work as part of an agile team in design, development, and deployment of enterprise-scale web applications. Build an internal portal application using React, micro-frontend, micro-services, and event-driven architecture. Develop Java micro-services to support the frontend and produce/consume Kafka topics. Collaborate with DevOps and other squads on the CI/CD pipeline. Provide support on production issues and mentor the team on React and micro-frontend developments. You May be a Good Fit if: You hold a Bachelor's degree in computer science, Software Engineering, or a related field. You have 5+ years of experience in software engineering. 3-5 years hands-on experience with AWS data services (Glue, Lambda, S3, DynamoDB) and Python frameworks including PySpark, Pandas, and FastAPI Strong SQL proficiency with demonstrated ability to optimize queries and tune performance across relational and analytical databases Experience with streaming technologies (Kafka) and workflow orchestration tools ( Airflow ) 2+ years working with cloud data warehouses (Snowflake preferred) and modern table formats (Iceberg, Delta Lake, or similar) Practical experience with data governance platforms (Collibra, Alation) and exposure to data mesh architectures or data virtualization tools (e.g., Starburst) Demonstrated ability to design and build REST or GraphQL APIs with integrated data/ML features Proven ability to leverage AI-powered coding assistants (GitHub Copilot, Claude Code, Amazon Q, Cursor, or similar) to accelerate development velocity and improve code quality Demonstrated experience using modern AI tools for code generation, debugging, refactoring, and documentation to deliver production-ready solutions faster You have experience with relational database technologies such as SQLServer, PostgreSQL. What Would Make You Stand Out: Strong experience with Airflow, AWS Glue, Data Pipelines Familiarity with Azure services such as Blob storage, Azure Functions. Experience with Artificial Intelligence (AI) technologies and frameworks like MCP, etc. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively Inclusive Work Environment : A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR NEW YORK ROLES ONLY: Expected base pay rates for the role will be between $140,000 and $150,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.
09/24/2026
Full time
Fitch Group is currently seeking a Senior Engineer - Data Platforms & Full Stack Applications based out of our New York office. About Fitch Group: As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team: Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Driven by investment in cutting-edge technologies like AI and cloud solutions, we're home to diverse roles united by a passion for leveraging modern technology to drive projects that matter. How You'll Make an Impact: Work as part of an agile team in design, development, and deployment of enterprise-scale web applications. Build an internal portal application using React, micro-frontend, micro-services, and event-driven architecture. Develop Java micro-services to support the frontend and produce/consume Kafka topics. Collaborate with DevOps and other squads on the CI/CD pipeline. Provide support on production issues and mentor the team on React and micro-frontend developments. You May be a Good Fit if: You hold a Bachelor's degree in computer science, Software Engineering, or a related field. You have 5+ years of experience in software engineering. 3-5 years hands-on experience with AWS data services (Glue, Lambda, S3, DynamoDB) and Python frameworks including PySpark, Pandas, and FastAPI Strong SQL proficiency with demonstrated ability to optimize queries and tune performance across relational and analytical databases Experience with streaming technologies (Kafka) and workflow orchestration tools ( Airflow ) 2+ years working with cloud data warehouses (Snowflake preferred) and modern table formats (Iceberg, Delta Lake, or similar) Practical experience with data governance platforms (Collibra, Alation) and exposure to data mesh architectures or data virtualization tools (e.g., Starburst) Demonstrated ability to design and build REST or GraphQL APIs with integrated data/ML features Proven ability to leverage AI-powered coding assistants (GitHub Copilot, Claude Code, Amazon Q, Cursor, or similar) to accelerate development velocity and improve code quality Demonstrated experience using modern AI tools for code generation, debugging, refactoring, and documentation to deliver production-ready solutions faster You have experience with relational database technologies such as SQLServer, PostgreSQL. What Would Make You Stand Out: Strong experience with Airflow, AWS Glue, Data Pipelines Familiarity with Azure services such as Blob storage, Azure Functions. Experience with Artificial Intelligence (AI) technologies and frameworks like MCP, etc. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively Inclusive Work Environment : A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR NEW YORK ROLES ONLY: Expected base pay rates for the role will be between $140,000 and $150,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.
About the Role "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3+ years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
09/23/2026
Full time
About the Role "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3+ years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Description Job Description: Technical Lead, Automation & AI Enablement Role Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance option TireHub funded Health Savings Account Additional benefit options including TireHub paid short/long term disability and life insurance benefits Paid vacation and holidays Parental leave programs Build your financial future with 401k including TireHub match Access to tire discounts, perks, and so much more! Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Team Leadership & People Development Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values. Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports. Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program. Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity. Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model. AI & Automation Architecture Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry. Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs. Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack. Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility. Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements. Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions. Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality. AI Enablement & Automation Engineering Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions. Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails. Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value. Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems. Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks. Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories. Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized. Maintains comprehensive technical documentation and establish knowledge standards across the team. Delivery & Operations Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team. Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions. Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities. Ensures individual and team adherence to TireHub policies, procedures, and guidelines. Complete other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement. Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success. Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute. Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs. Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge. Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance. Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences. Education/Experience: Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus. 7+ years of experience in automation engineering, solution architecture, or a related technical role. 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications. Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources. Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices. 2+ years of direct people management or technical lead experience, including managing onshore and/or offshore team members. Experience with Azure integration services including Logic Apps, Service Bus, Azure Functions, and Application Insights. Proficiency in API integration patterns (REST, GraphQL, OAuth/token-based authentication). Proficiency in SQL and at least one programming language (Python, C#, Scala). Demonstrated project management skills and ability to lead cross-functional initiatives in an Agile environment. Required Knowledge, Skills . click apply for full job details
09/20/2026
Full time
Job Description Job Description: Technical Lead, Automation & AI Enablement Role Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance option TireHub funded Health Savings Account Additional benefit options including TireHub paid short/long term disability and life insurance benefits Paid vacation and holidays Parental leave programs Build your financial future with 401k including TireHub match Access to tire discounts, perks, and so much more! Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Team Leadership & People Development Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values. Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports. Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program. Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity. Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model. AI & Automation Architecture Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry. Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs. Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack. Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility. Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements. Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions. Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality. AI Enablement & Automation Engineering Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions. Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails. Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value. Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems. Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks. Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories. Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized. Maintains comprehensive technical documentation and establish knowledge standards across the team. Delivery & Operations Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team. Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions. Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities. Ensures individual and team adherence to TireHub policies, procedures, and guidelines. Complete other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement. Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success. Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute. Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs. Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge. Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance. Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences. Education/Experience: Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus. 7+ years of experience in automation engineering, solution architecture, or a related technical role. 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications. Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources. Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices. 2+ years of direct people management or technical lead experience, including managing onshore and/or offshore team members. Experience with Azure integration services including Logic Apps, Service Bus, Azure Functions, and Application Insights. Proficiency in API integration patterns (REST, GraphQL, OAuth/token-based authentication). Proficiency in SQL and at least one programming language (Python, C#, Scala). Demonstrated project management skills and ability to lead cross-functional initiatives in an Agile environment. Required Knowledge, Skills . click apply for full job details