Genesis10 is currently seeking a Lead ETL Developer for a contract-to-hire position with a Regional Financial Institution located in Columbus, Cleveland, Dayton, Toledo, Akron, Cincinnati, OH, Dallas, TX, Houston, TX, Charlotte, NC, Chicago, IL, Detroit, MI, Atlanta, GA, Denver, CO, Tampa, FL, Pittsburgh, PA, or Minnetonka, MN. This is a hybrid position requiring 4 days per week onsite. Compensation: $65.00 - $70.00 per hour, W2, based on qualifications Position Overview: As a technical leader on the Enterprise Data Warehouse (EDW) team, this role is responsible for leading the design, development, and optimization of scalable data pipelines and solutions. The ideal candidate will partner across engineering, architecture, QA, and business teams to deliver high-quality, reliable data solutions and help shape the future-state data ecosystem leveraging modern cloud technologies including AWS, Snowflake, and Python-based frameworks. Key Responsibilities: Lead the design, development, and maintenance of ETL/ELT pipelines in the EDW ecosystem Ensure alignment to enterprise data architecture, standards, and best practices Drive solution design from requirements and data mapping documents to scalable technical implementations Build and optimize data pipelines using AWS Glue, Snowflake, Python/PySpark, and IBM DataStage Implement reusable, metadata-driven, and performance-optimized data integration patterns Enforce coding standards, version control, and CI/CD practices Define and implement unit testing, regression testing, and data validation strategies Partner with QA to support system and integration testing efforts Troubleshoot and resolve data and pipeline issues across development, QA, and production environments Work closely with Product Owners, BSAs, architects, and upstream/downstream teams to deliver end-to-end solutions Communicate progress, risks, and blockers clearly to stakeholders and leadership Support production operations, including incident triage and root cause analysis Identify opportunities to improve performance, reliability, and scalability of data pipelines Contribute to modernization efforts (cloud migration, Snowflake optimization, automation) Stay current on industry trends and emerging technologies in data engineering Mentor and coach junior and mid-level developers on technical skills and best practices Provide technical guidance and code reviews to ensure quality and consistency Lead development efforts on key initiatives and serve as a project-level technical lead Primary Requirements: Bachelor's Degree or an additional 4+ years of related work experience 5+ years of ETL/Data Engineering experience in enterprise data warehouse environments 5+ years of experience with SQL and Database development 5+ years of hands-on experience with Python/PySpark and ETL tools 3+ Years of experience with cloud-based data platforms Desired Skills: Strong understanding of Data Warehousing Concepts, modeling, and SDLC methodologies Proven experience leading development teams or acting as a technical lead on large-scale data initiatives Experience with AWS services (Glue, S3, EC2) and Snowflake architecture optimization Knowledge of data pipeline observability, monitoring, and automated testing frameworks Experience defining future-state data architecture or modernization roadmaps Familiarity with CI/CD pipelines, DevOps practices, and version control systems Understanding of data governance, security, and regulatory considerations in financial services AWS Certifications (Solutions Architect, DevOps Engineer) preferred Prior experience in banking or financial services industry Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
10/27/2026
Full time
Genesis10 is currently seeking a Lead ETL Developer for a contract-to-hire position with a Regional Financial Institution located in Columbus, Cleveland, Dayton, Toledo, Akron, Cincinnati, OH, Dallas, TX, Houston, TX, Charlotte, NC, Chicago, IL, Detroit, MI, Atlanta, GA, Denver, CO, Tampa, FL, Pittsburgh, PA, or Minnetonka, MN. This is a hybrid position requiring 4 days per week onsite. Compensation: $65.00 - $70.00 per hour, W2, based on qualifications Position Overview: As a technical leader on the Enterprise Data Warehouse (EDW) team, this role is responsible for leading the design, development, and optimization of scalable data pipelines and solutions. The ideal candidate will partner across engineering, architecture, QA, and business teams to deliver high-quality, reliable data solutions and help shape the future-state data ecosystem leveraging modern cloud technologies including AWS, Snowflake, and Python-based frameworks. Key Responsibilities: Lead the design, development, and maintenance of ETL/ELT pipelines in the EDW ecosystem Ensure alignment to enterprise data architecture, standards, and best practices Drive solution design from requirements and data mapping documents to scalable technical implementations Build and optimize data pipelines using AWS Glue, Snowflake, Python/PySpark, and IBM DataStage Implement reusable, metadata-driven, and performance-optimized data integration patterns Enforce coding standards, version control, and CI/CD practices Define and implement unit testing, regression testing, and data validation strategies Partner with QA to support system and integration testing efforts Troubleshoot and resolve data and pipeline issues across development, QA, and production environments Work closely with Product Owners, BSAs, architects, and upstream/downstream teams to deliver end-to-end solutions Communicate progress, risks, and blockers clearly to stakeholders and leadership Support production operations, including incident triage and root cause analysis Identify opportunities to improve performance, reliability, and scalability of data pipelines Contribute to modernization efforts (cloud migration, Snowflake optimization, automation) Stay current on industry trends and emerging technologies in data engineering Mentor and coach junior and mid-level developers on technical skills and best practices Provide technical guidance and code reviews to ensure quality and consistency Lead development efforts on key initiatives and serve as a project-level technical lead Primary Requirements: Bachelor's Degree or an additional 4+ years of related work experience 5+ years of ETL/Data Engineering experience in enterprise data warehouse environments 5+ years of experience with SQL and Database development 5+ years of hands-on experience with Python/PySpark and ETL tools 3+ Years of experience with cloud-based data platforms Desired Skills: Strong understanding of Data Warehousing Concepts, modeling, and SDLC methodologies Proven experience leading development teams or acting as a technical lead on large-scale data initiatives Experience with AWS services (Glue, S3, EC2) and Snowflake architecture optimization Knowledge of data pipeline observability, monitoring, and automated testing frameworks Experience defining future-state data architecture or modernization roadmaps Familiarity with CI/CD pipelines, DevOps practices, and version control systems Understanding of data governance, security, and regulatory considerations in financial services AWS Certifications (Solutions Architect, DevOps Engineer) preferred Prior experience in banking or financial services industry Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Position - Senior Data & Cloud Architect (Healthcare) Location - Boston, MA Experience - 10+ Years Type - Contract Job Description - Project Description We are seeking an experienced Senior Data & Cloud Architect to lead the design and modernization of data and cloud platforms for a healthcare organization. The ideal candidate will build scalable, secure, and compliant data architectures, guide cloud adoption across hybrid environments, and partner with engineering and business teams to deliver modern, data-driven solutions. Key Responsibilities Design and implement scalable data architectures and cloud-based solutions using Snowflake, AWS, and DynamoDB. Lead application modernization initiatives, defining architecture patterns, integration frameworks, and migration strategies. Architect and optimize Big Data ecosystems to support large-scale data processing and analytics. Establish DevOps best practices, including CI/CD pipelines, automation, and infrastructure as code. Define and enforce cloud governance standards across hybrid cloud environments, ensuring security, compliance, and cost efficiency. Collaborate with stakeholders, data engineers, and development teams to translate business needs into technical solutions. Ensure solutions meet healthcare data security and compliance requirements, such as HIPAA. Required Skills 10+ years of IT experience, with significant experience in the healthcare domain. Strong hands-on experience with Snowflake, AWS, DynamoDB, and Big Data ecosystems. Proven expertise in designing and implementing scalable data architectures and cloud solutions. Solid understanding of application architecture patterns, integration frameworks, and modernization strategies. Experience with DevOps practices, CI/CD pipelines, automation, and infrastructure as code (e.g., Terraform, CloudFormation). Strong knowledge of hybrid cloud environments and cloud governance. Nice to Have Deep healthcare domain knowledge, including familiarity with HIPAA, HL7/FHIR, claims, or EHR data. AWS or Snowflake certifications.
10/27/2026
Full time
Position - Senior Data & Cloud Architect (Healthcare) Location - Boston, MA Experience - 10+ Years Type - Contract Job Description - Project Description We are seeking an experienced Senior Data & Cloud Architect to lead the design and modernization of data and cloud platforms for a healthcare organization. The ideal candidate will build scalable, secure, and compliant data architectures, guide cloud adoption across hybrid environments, and partner with engineering and business teams to deliver modern, data-driven solutions. Key Responsibilities Design and implement scalable data architectures and cloud-based solutions using Snowflake, AWS, and DynamoDB. Lead application modernization initiatives, defining architecture patterns, integration frameworks, and migration strategies. Architect and optimize Big Data ecosystems to support large-scale data processing and analytics. Establish DevOps best practices, including CI/CD pipelines, automation, and infrastructure as code. Define and enforce cloud governance standards across hybrid cloud environments, ensuring security, compliance, and cost efficiency. Collaborate with stakeholders, data engineers, and development teams to translate business needs into technical solutions. Ensure solutions meet healthcare data security and compliance requirements, such as HIPAA. Required Skills 10+ years of IT experience, with significant experience in the healthcare domain. Strong hands-on experience with Snowflake, AWS, DynamoDB, and Big Data ecosystems. Proven expertise in designing and implementing scalable data architectures and cloud solutions. Solid understanding of application architecture patterns, integration frameworks, and modernization strategies. Experience with DevOps practices, CI/CD pipelines, automation, and infrastructure as code (e.g., Terraform, CloudFormation). Strong knowledge of hybrid cloud environments and cloud governance. Nice to Have Deep healthcare domain knowledge, including familiarity with HIPAA, HL7/FHIR, claims, or EHR data. AWS or Snowflake certifications.
Hi, Hope You are doing well. This is Piyush from Tanisha Systems. I have a job opportunity for you, if you are interested, please share your Resume and details ASAP. Enterprise Architect - Data, Cloud & AI Location: Scottsdale, AZ / San Francisco, CA - Onsite Hire Type: Contract-to-Hire (CTH) Must-Have Skills Databricks Cloudera Snowflake Data Engineering Role Overview We are seeking a highly experienced Enterprise Architect to define and drive enterprise technology strategy across Data Platforms, Cloud, AI/ML, Analytics, and Enterprise Integration. The ideal candidate will have strong hands-on architecture experience with Databricks, Cloudera, Snowflake, Hadoop, Data Engineering, and Cloud Platforms, along with the ability to design scalable, secure, resilient, and future-ready enterprise solutions. This role will work closely with executive leadership, business stakeholders, engineering teams, architects, and customers to define enterprise architecture, establish technology standards, drive modernization, and deliver large-scale digital, data, and AI transformation initiatives. Key Responsibilities Enterprise Architecture & Technology Strategy Define enterprise-wide architecture standards, reference architectures, technology principles, and strategic technology roadmaps. Lead architecture governance, solution reviews, technology evaluations, and architecture decision processes. Design scalable, resilient, secure, highly available, and cost-optimized enterprise platforms. Align enterprise technology architecture with business objectives, digital transformation strategies, and long-term organizational goals. Drive cloud adoption, legacy modernization, platform engineering, and enterprise transformation initiatives. Evaluate emerging technologies and recommend solutions that provide measurable business and operational value. Data Platform Architecture Architect enterprise-scale data platforms using Databricks, Cloudera, Snowflake, Hadoop, and cloud-native data services. Design and implement modern Lakehouse, Data Warehouse, Data Lake, Data Mesh, and Data Fabric architectures. Define enterprise data governance, metadata management, data lineage, security, and access-control frameworks. Establish standards for data quality, observability, monitoring, compliance, and operational reliability. Develop strategies for managing structured, semi-structured, and unstructured enterprise data. Define scalable data architecture patterns supporting analytics, AI/ML, reporting, and business intelligence. Data Engineering & ETL Architecture Architect large-scale ETL/ELT frameworks supporting batch, streaming, and real-time data processing. Lead the architecture of scalable data pipelines integrating multiple enterprise source systems. Define data integration and processing patterns using Apache Spark, PySpark, Databricks, Cloudera/Hadoop, Kafka, and cloud-native services. Establish best practices for data ingestion, transformation, orchestration, processing, and delivery. Optimize data pipelines for performance, scalability, reliability, and cost efficiency. Provide architectural guidance to data engineering teams on modern data processing and integration patterns. Cloud Architecture Design enterprise solutions across AWS, Microsoft Azure, and Google Cloud Platform (GCP). Lead cloud migration, modernization, and hybrid/multi-cloud architecture initiatives. Architect highly available, secure, scalable, and resilient cloud platforms. Define Infrastructure as Code (IaC), CI/CD, DevOps, and platform engineering strategies. Establish cloud governance standards covering security, networking, identity, monitoring, compliance, and cost management. Promote FinOps and cloud cost-optimization practices across enterprise platforms. AI/ML & Advanced Analytics Define enterprise-wide AI/ML architecture and technology strategy. Architect MLOps frameworks supporting model development, deployment, monitoring, and lifecycle management. Design architectures for Generative AI, Agentic AI, RAG, LLMs, and enterprise AI applications. Define integration patterns for LLMs, vector databases, knowledge bases, and AI services. Establish AI governance, security, monitoring, responsible AI, and model-risk management practices. Enable predictive analytics, business intelligence, advanced analytics, and AI-driven business capabilities. API & Enterprise Integration Define enterprise integration architecture and API strategy. Design API-first, microservices, event-driven, and distributed architectures. Establish integration patterns using REST APIs, GraphQL, Enterprise Service Bus (ESB), messaging systems, and streaming platforms. Ensure enterprise integrations are secure, scalable, reusable, resilient, and maintainable. Define standards for API governance, lifecycle management, security, monitoring, and observability. Quality Engineering & Test Automation Define enterprise quality engineering and testing strategies across data, cloud, APIs, applications, and AI/ML platforms. Architect automated testing frameworks for ETL, data quality, APIs, cloud platforms, and AI/ML solutions. Drive adoption of CI/CD-integrated testing and quality engineering practices. Establish standards for reliability, performance, scalability, observability, and resilience testing. Promote automated validation and continuous quality across enterprise platforms. Leadership & Stakeholder Management Serve as a trusted technology advisor to executive, business, and technology leadership. Partner with customers and business stakeholders to understand strategic objectives and translate them into technology solutions. Mentor architects, engineers, technical leads, and development teams. Lead architecture review boards, technical governance forums, and design discussions. Communicate complex technical concepts and architectural decisions effectively to both technical and executive audiences. Drive innovation and adoption of emerging technologies aligned with business strategy. Required Technical Skills Data Platforms Databricks Lakehouse Cloudera Snowflake Hadoop Ecosystem - HDFS, Hive, Spark, YARN Data Lakes & Data Warehouses Delta Lake Data Mesh / Data Fabric Data Engineering ETL / ELT Architecture Enterprise Data Pipelines Apache Spark / PySpark Kafka Batch & Real-Time Processing Streaming Architecture Data Quality & Observability Cloud Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Cloud Security & Networking Infrastructure as Code - Terraform / CloudFormation Cloud Architecture & Migration AI/ML Machine Learning Platforms MLOps Generative AI Large Language Models (LLMs) Agentic AI RAG Architectures Vector Databases AI Governance API & Integration REST APIs GraphQL Enterprise Service Bus (ESB) Event-Driven Architecture Microservices Messaging & Streaming Frameworks API Management DevOps & Automation CI/CD Pipelines GitHub / GitLab Jenkins Docker Kubernetes Infrastructure Automation Test Automation Frameworks Database Technologies Snowflake SQL Server PostgreSQL Oracle NoSQL Databases Enterprise Data Warehousing Preferred Experience Experience leading enterprise-wide data modernization and cloud transformation programs. Strong background in Databricks, Cloudera, Snowflake, and Hadoop-based ecosystems. Experience designing large-scale data platforms for analytics, AI/ML, and enterprise reporting. Experience working with distributed systems, high-volume data processing, and real-time streaming. Experience with enterprise architecture frameworks, governance models, and technology roadmaps. Consulting or customer-facing architecture experience is highly desirable. Soft Skills Executive stakeholder management Strategic thinking and technology vision Enterprise architecture leadership Strong communication and presentation skills Technical consulting and customer engagement Problem-solving and decision-making Ability to influence across business and technology teams Strong leadership, collaboration, and mentoring skills Piyush Chowdhary Sr. Delivery Manager/Account Manager Tanisha Systems Inc Desk no. Email: Web: Linkedin URL: Piyush Chowdhary - Irvine, California, United States Professional Profile LinkedIn Address:99 Wood Ave South Suite # 308,Iselin, NJ 08830 E-Verify, Certified Minority Business Enterprise MBE, Dun & Bradstreet CREDIBILITY "Tanisha Systems, Inc. is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, (including pregnancy, childbirth, or related medical conditions), sexual orientation, national origin physical or mental disability, or any other status protected by applicable federal, state, or local law. We are committed to providing an accessible work environment for all candidates. Reasonable accommodation will be provided during the application and hiring process upon request."
10/27/2026
Full time
Hi, Hope You are doing well. This is Piyush from Tanisha Systems. I have a job opportunity for you, if you are interested, please share your Resume and details ASAP. Enterprise Architect - Data, Cloud & AI Location: Scottsdale, AZ / San Francisco, CA - Onsite Hire Type: Contract-to-Hire (CTH) Must-Have Skills Databricks Cloudera Snowflake Data Engineering Role Overview We are seeking a highly experienced Enterprise Architect to define and drive enterprise technology strategy across Data Platforms, Cloud, AI/ML, Analytics, and Enterprise Integration. The ideal candidate will have strong hands-on architecture experience with Databricks, Cloudera, Snowflake, Hadoop, Data Engineering, and Cloud Platforms, along with the ability to design scalable, secure, resilient, and future-ready enterprise solutions. This role will work closely with executive leadership, business stakeholders, engineering teams, architects, and customers to define enterprise architecture, establish technology standards, drive modernization, and deliver large-scale digital, data, and AI transformation initiatives. Key Responsibilities Enterprise Architecture & Technology Strategy Define enterprise-wide architecture standards, reference architectures, technology principles, and strategic technology roadmaps. Lead architecture governance, solution reviews, technology evaluations, and architecture decision processes. Design scalable, resilient, secure, highly available, and cost-optimized enterprise platforms. Align enterprise technology architecture with business objectives, digital transformation strategies, and long-term organizational goals. Drive cloud adoption, legacy modernization, platform engineering, and enterprise transformation initiatives. Evaluate emerging technologies and recommend solutions that provide measurable business and operational value. Data Platform Architecture Architect enterprise-scale data platforms using Databricks, Cloudera, Snowflake, Hadoop, and cloud-native data services. Design and implement modern Lakehouse, Data Warehouse, Data Lake, Data Mesh, and Data Fabric architectures. Define enterprise data governance, metadata management, data lineage, security, and access-control frameworks. Establish standards for data quality, observability, monitoring, compliance, and operational reliability. Develop strategies for managing structured, semi-structured, and unstructured enterprise data. Define scalable data architecture patterns supporting analytics, AI/ML, reporting, and business intelligence. Data Engineering & ETL Architecture Architect large-scale ETL/ELT frameworks supporting batch, streaming, and real-time data processing. Lead the architecture of scalable data pipelines integrating multiple enterprise source systems. Define data integration and processing patterns using Apache Spark, PySpark, Databricks, Cloudera/Hadoop, Kafka, and cloud-native services. Establish best practices for data ingestion, transformation, orchestration, processing, and delivery. Optimize data pipelines for performance, scalability, reliability, and cost efficiency. Provide architectural guidance to data engineering teams on modern data processing and integration patterns. Cloud Architecture Design enterprise solutions across AWS, Microsoft Azure, and Google Cloud Platform (GCP). Lead cloud migration, modernization, and hybrid/multi-cloud architecture initiatives. Architect highly available, secure, scalable, and resilient cloud platforms. Define Infrastructure as Code (IaC), CI/CD, DevOps, and platform engineering strategies. Establish cloud governance standards covering security, networking, identity, monitoring, compliance, and cost management. Promote FinOps and cloud cost-optimization practices across enterprise platforms. AI/ML & Advanced Analytics Define enterprise-wide AI/ML architecture and technology strategy. Architect MLOps frameworks supporting model development, deployment, monitoring, and lifecycle management. Design architectures for Generative AI, Agentic AI, RAG, LLMs, and enterprise AI applications. Define integration patterns for LLMs, vector databases, knowledge bases, and AI services. Establish AI governance, security, monitoring, responsible AI, and model-risk management practices. Enable predictive analytics, business intelligence, advanced analytics, and AI-driven business capabilities. API & Enterprise Integration Define enterprise integration architecture and API strategy. Design API-first, microservices, event-driven, and distributed architectures. Establish integration patterns using REST APIs, GraphQL, Enterprise Service Bus (ESB), messaging systems, and streaming platforms. Ensure enterprise integrations are secure, scalable, reusable, resilient, and maintainable. Define standards for API governance, lifecycle management, security, monitoring, and observability. Quality Engineering & Test Automation Define enterprise quality engineering and testing strategies across data, cloud, APIs, applications, and AI/ML platforms. Architect automated testing frameworks for ETL, data quality, APIs, cloud platforms, and AI/ML solutions. Drive adoption of CI/CD-integrated testing and quality engineering practices. Establish standards for reliability, performance, scalability, observability, and resilience testing. Promote automated validation and continuous quality across enterprise platforms. Leadership & Stakeholder Management Serve as a trusted technology advisor to executive, business, and technology leadership. Partner with customers and business stakeholders to understand strategic objectives and translate them into technology solutions. Mentor architects, engineers, technical leads, and development teams. Lead architecture review boards, technical governance forums, and design discussions. Communicate complex technical concepts and architectural decisions effectively to both technical and executive audiences. Drive innovation and adoption of emerging technologies aligned with business strategy. Required Technical Skills Data Platforms Databricks Lakehouse Cloudera Snowflake Hadoop Ecosystem - HDFS, Hive, Spark, YARN Data Lakes & Data Warehouses Delta Lake Data Mesh / Data Fabric Data Engineering ETL / ELT Architecture Enterprise Data Pipelines Apache Spark / PySpark Kafka Batch & Real-Time Processing Streaming Architecture Data Quality & Observability Cloud Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Cloud Security & Networking Infrastructure as Code - Terraform / CloudFormation Cloud Architecture & Migration AI/ML Machine Learning Platforms MLOps Generative AI Large Language Models (LLMs) Agentic AI RAG Architectures Vector Databases AI Governance API & Integration REST APIs GraphQL Enterprise Service Bus (ESB) Event-Driven Architecture Microservices Messaging & Streaming Frameworks API Management DevOps & Automation CI/CD Pipelines GitHub / GitLab Jenkins Docker Kubernetes Infrastructure Automation Test Automation Frameworks Database Technologies Snowflake SQL Server PostgreSQL Oracle NoSQL Databases Enterprise Data Warehousing Preferred Experience Experience leading enterprise-wide data modernization and cloud transformation programs. Strong background in Databricks, Cloudera, Snowflake, and Hadoop-based ecosystems. Experience designing large-scale data platforms for analytics, AI/ML, and enterprise reporting. Experience working with distributed systems, high-volume data processing, and real-time streaming. Experience with enterprise architecture frameworks, governance models, and technology roadmaps. Consulting or customer-facing architecture experience is highly desirable. Soft Skills Executive stakeholder management Strategic thinking and technology vision Enterprise architecture leadership Strong communication and presentation skills Technical consulting and customer engagement Problem-solving and decision-making Ability to influence across business and technology teams Strong leadership, collaboration, and mentoring skills Piyush Chowdhary Sr. Delivery Manager/Account Manager Tanisha Systems Inc Desk no. Email: Web: Linkedin URL: Piyush Chowdhary - Irvine, California, United States Professional Profile LinkedIn Address:99 Wood Ave South Suite # 308,Iselin, NJ 08830 E-Verify, Certified Minority Business Enterprise MBE, Dun & Bradstreet CREDIBILITY "Tanisha Systems, Inc. is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, (including pregnancy, childbirth, or related medical conditions), sexual orientation, national origin physical or mental disability, or any other status protected by applicable federal, state, or local law. We are committed to providing an accessible work environment for all candidates. Reasonable accommodation will be provided during the application and hiring process upon request."
Pay Range: $55hr - $60hr Job Overview: Our client is seeking a SQL Server database and Cloud database administrator to join the Tolling Engineering and Operations Team. The candidate will administer and support SQL Server and cloud databases. Additional help desk and application support responsibilities will be part of a rotation with the team. Candidate Qualifications: Expertise working as a SQL Server DBA. Expertise working with SQL clustering, mirroring, and high availability. Experience working with large SQL databases. Expertise in writing Transact-SQL. Experience tuning SQL Server databases. Expertise in installing, upgrading, patching, and migrating SQL Server databases. Experience working on a Windows platform. Exposure to SSIS, SSAS, and SSRS. Experience working with Azure Cloud. Responsibilities: Monitor databases to maintain and ensure database uptime and availability. Troubleshoot application and database issues related to connectivity, access, and security. Tune long-running SQL queries. Review and refine existing database tasks and processes to better align with organizational priorities. Leverage and utilize OS scripting utilities in support of database maintenance, diagnosis, and support. Review the existing database implementation and propose, execute, or direct necessary changes. Perform SQL Server installations (2022, 2025+ with failover clustering). Support SQL Server databases through administration, support, and tuning. Apply data modeling principles. Role Expectations: Rely on experience and judgment to plan and accomplish goals. Independently perform a variety of complicated tasks. Work with a team of Engineering and Operations professionals. Strong verbal and written communication skills. Qualifications: At least 6 years of experience with Microsoft SQL Server database management. At least 1 year of Azure, Snowflake, or Databricks experience (a certification is acceptable in lieu of experience). Master's degree in computer science, information systems, or equivalent skills, knowledge, and work history. Demonstrated experience in communicating effectively using standard requirements and design artifacts. Minimum 3 4 years hands-on experience upgrading tolling SQL Server environments from SQL 2012 to SQL 2019, including compatibility evaluations, Query Tuning Assistant, and Database Migration Assistant. Experience diagnosing and resolving deadlocks and blocking in production workloads, including extended events, Query Store, and wait statistic analysis. Experience tuning Very Large Databases (2 TB+) including index optimization, long-running workload analysis, and minimizing resource contention. Desired Knowledge and Experience: SQL Server 2019+. Cloud databases including Azure, Snowflake, and Databricks. Special Instructions: This position requires a fingerprint-based background check. The candidate will be required to continue education at their own expense to stay current with technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
10/27/2026
Full time
Pay Range: $55hr - $60hr Job Overview: Our client is seeking a SQL Server database and Cloud database administrator to join the Tolling Engineering and Operations Team. The candidate will administer and support SQL Server and cloud databases. Additional help desk and application support responsibilities will be part of a rotation with the team. Candidate Qualifications: Expertise working as a SQL Server DBA. Expertise working with SQL clustering, mirroring, and high availability. Experience working with large SQL databases. Expertise in writing Transact-SQL. Experience tuning SQL Server databases. Expertise in installing, upgrading, patching, and migrating SQL Server databases. Experience working on a Windows platform. Exposure to SSIS, SSAS, and SSRS. Experience working with Azure Cloud. Responsibilities: Monitor databases to maintain and ensure database uptime and availability. Troubleshoot application and database issues related to connectivity, access, and security. Tune long-running SQL queries. Review and refine existing database tasks and processes to better align with organizational priorities. Leverage and utilize OS scripting utilities in support of database maintenance, diagnosis, and support. Review the existing database implementation and propose, execute, or direct necessary changes. Perform SQL Server installations (2022, 2025+ with failover clustering). Support SQL Server databases through administration, support, and tuning. Apply data modeling principles. Role Expectations: Rely on experience and judgment to plan and accomplish goals. Independently perform a variety of complicated tasks. Work with a team of Engineering and Operations professionals. Strong verbal and written communication skills. Qualifications: At least 6 years of experience with Microsoft SQL Server database management. At least 1 year of Azure, Snowflake, or Databricks experience (a certification is acceptable in lieu of experience). Master's degree in computer science, information systems, or equivalent skills, knowledge, and work history. Demonstrated experience in communicating effectively using standard requirements and design artifacts. Minimum 3 4 years hands-on experience upgrading tolling SQL Server environments from SQL 2012 to SQL 2019, including compatibility evaluations, Query Tuning Assistant, and Database Migration Assistant. Experience diagnosing and resolving deadlocks and blocking in production workloads, including extended events, Query Store, and wait statistic analysis. Experience tuning Very Large Databases (2 TB+) including index optimization, long-running workload analysis, and minimizing resource contention. Desired Knowledge and Experience: SQL Server 2019+. Cloud databases including Azure, Snowflake, and Databricks. Special Instructions: This position requires a fingerprint-based background check. The candidate will be required to continue education at their own expense to stay current with technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
10/27/2026
Full time
Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: July 2nd Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
10/27/2026
Full time
Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: July 2nd Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Job Description About Datifact Datifact is The GenBI Company. Datifact builds the data, ontology and context layers that make enterprise AI work for mid-market companies (50 to 500 employees, $10M to $250M in revenue), then delivers applications on top of them through QubeAI , its AI-native operating system for the business. Every engagement moves through discovery, build and managed services, and every one touches real client systems, real data and real executives. Datifact is headquartered in Orange County, California, with a presence in Nashville, Tennessee. The Role Datifact is hiring a Technical Project Manager to run AI and data engagements from kickoff to go-live and into managed services. This role reports directly to the Senior Director of Client Delivery. The Technical Project Manager is the connective tissue between engineering and the client. The role keeps scope, timelines and decisions clear, speaks fluently with engineers about data pipelines, ontologies and LLM agents, and speaks just as fluently with CFOs and COOs about outcomes. When a project is on track, it is because this person made it so. Title: Technical Project Manager Reports to: Senior Director of Client Delivery Type: Full time, salaried Location: Orange County, CA or Nashville, TN preferred; remote considered for the right candidate What You Will Do Delivery and execution Own end-to-end delivery of client engagements: discovery, data layer builds, ontology design, application builds and go-live Build and manage project plans, milestones, dependencies and resourcing across several concurrent clients Run sprint planning, standups and retrospectives, and keep the backlog groomed and prioritized Track scope, budget and hours against the statement of work, and flag risks early with a clear recommendation Client leadership Serve as the day-to-day point of contact for client stakeholders, from finance and operations leaders to IT teams Lead kickoffs, status meetings, demos and executive readouts Run discovery sessions and stakeholder interviews, and translate what the business needs into clear requirements engineering can build against Manage change requests and keep clients aligned on what is in scope, what is next and why Technical coordination Coordinate system access, credentials, integrations and data connections with client IT (ERP, CRM, accounting and data platforms) Write and maintain technical documentation: requirements, architecture summaries, data mappings, runbooks and handoff guides Partner with the CTO, AI engineers and solutions engineering to sequence work and remove blockers Coordinate vendor security reviews and compliance questionnaires with engineering Operations and process Build repeatable delivery playbooks so every new engagement starts faster than the last Maintain the internal ticketing, project tracking and reporting that keeps leadership informed Support the transition from build to managed services, including SLAs and ongoing enhancement roadmaps What You Bring 5+ years of technical project management, with at least 2 years on data, analytics, BI or AI projects A track record of delivering client-facing technical projects on time and within scope, ideally in consulting or professional services Working technical fluency in data pipelines, data warehouses, APIs, system integrations and cloud platforms; enough to follow an architecture discussion and ask the right questions Familiarity with how LLM applications are built and evaluated (retrieval, agents, prompts, evaluations) Strong command of Agile and hybrid delivery methods, and the judgment to use as much process as the project needs and no more Experience with project and ticketing tools (ClickUp, Jira, Asana or similar) Clear, confident communication with executives and engineers alike, in writing and in the room Calm under pressure and comfortable owning hard conversations about scope, timelines and tradeoffs Nice to Have PMP, CSM, PMI-ACP or similar certification Background in finance, accounting or operations systems (QuickBooks Online, NetSuite, Salesforce) Hands-on SQL or experience with Snowflake, Databricks or similar platforms Experience with EOS (Rocks, Scorecard, Level 10 meetings) Experience running vendor security reviews or SOC 2 questionnaires Prior work at an early-stage startup or a small, fast-moving delivery team Compensation and Benefits Base salary starts at $130,000 per year, based on experience and location. Full benefits, with medical coverage 100% paid by Datifact for employees Flexible time off Monthly phone and internet stipend Direct access to Datifact leadership and a real voice in how Datifact delivers A front-row seat to enterprise AI being built and deployed in real businesses Location Onsite in the Orange County, California or Nashville, Tennessee area is preferred. Remote work is open for the right candidate, with occasional travel to client sites and team sessions.
10/27/2026
Full time
Job Description About Datifact Datifact is The GenBI Company. Datifact builds the data, ontology and context layers that make enterprise AI work for mid-market companies (50 to 500 employees, $10M to $250M in revenue), then delivers applications on top of them through QubeAI , its AI-native operating system for the business. Every engagement moves through discovery, build and managed services, and every one touches real client systems, real data and real executives. Datifact is headquartered in Orange County, California, with a presence in Nashville, Tennessee. The Role Datifact is hiring a Technical Project Manager to run AI and data engagements from kickoff to go-live and into managed services. This role reports directly to the Senior Director of Client Delivery. The Technical Project Manager is the connective tissue between engineering and the client. The role keeps scope, timelines and decisions clear, speaks fluently with engineers about data pipelines, ontologies and LLM agents, and speaks just as fluently with CFOs and COOs about outcomes. When a project is on track, it is because this person made it so. Title: Technical Project Manager Reports to: Senior Director of Client Delivery Type: Full time, salaried Location: Orange County, CA or Nashville, TN preferred; remote considered for the right candidate What You Will Do Delivery and execution Own end-to-end delivery of client engagements: discovery, data layer builds, ontology design, application builds and go-live Build and manage project plans, milestones, dependencies and resourcing across several concurrent clients Run sprint planning, standups and retrospectives, and keep the backlog groomed and prioritized Track scope, budget and hours against the statement of work, and flag risks early with a clear recommendation Client leadership Serve as the day-to-day point of contact for client stakeholders, from finance and operations leaders to IT teams Lead kickoffs, status meetings, demos and executive readouts Run discovery sessions and stakeholder interviews, and translate what the business needs into clear requirements engineering can build against Manage change requests and keep clients aligned on what is in scope, what is next and why Technical coordination Coordinate system access, credentials, integrations and data connections with client IT (ERP, CRM, accounting and data platforms) Write and maintain technical documentation: requirements, architecture summaries, data mappings, runbooks and handoff guides Partner with the CTO, AI engineers and solutions engineering to sequence work and remove blockers Coordinate vendor security reviews and compliance questionnaires with engineering Operations and process Build repeatable delivery playbooks so every new engagement starts faster than the last Maintain the internal ticketing, project tracking and reporting that keeps leadership informed Support the transition from build to managed services, including SLAs and ongoing enhancement roadmaps What You Bring 5+ years of technical project management, with at least 2 years on data, analytics, BI or AI projects A track record of delivering client-facing technical projects on time and within scope, ideally in consulting or professional services Working technical fluency in data pipelines, data warehouses, APIs, system integrations and cloud platforms; enough to follow an architecture discussion and ask the right questions Familiarity with how LLM applications are built and evaluated (retrieval, agents, prompts, evaluations) Strong command of Agile and hybrid delivery methods, and the judgment to use as much process as the project needs and no more Experience with project and ticketing tools (ClickUp, Jira, Asana or similar) Clear, confident communication with executives and engineers alike, in writing and in the room Calm under pressure and comfortable owning hard conversations about scope, timelines and tradeoffs Nice to Have PMP, CSM, PMI-ACP or similar certification Background in finance, accounting or operations systems (QuickBooks Online, NetSuite, Salesforce) Hands-on SQL or experience with Snowflake, Databricks or similar platforms Experience with EOS (Rocks, Scorecard, Level 10 meetings) Experience running vendor security reviews or SOC 2 questionnaires Prior work at an early-stage startup or a small, fast-moving delivery team Compensation and Benefits Base salary starts at $130,000 per year, based on experience and location. Full benefits, with medical coverage 100% paid by Datifact for employees Flexible time off Monthly phone and internet stipend Direct access to Datifact leadership and a real voice in how Datifact delivers A front-row seat to enterprise AI being built and deployed in real businesses Location Onsite in the Orange County, California or Nashville, Tennessee area is preferred. Remote work is open for the right candidate, with occasional travel to client sites and team sessions.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
10/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
10/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: The Principal Automation & AI Engineer serves as the technical leader responsible for building the automation, AI, analytics, and operational intelligence capabilities that enable Cloud & Infrastructure leadership team to effectively govern a global technology organization. The role drives operational excellence, financial accountability, service reliability, asset optimization, workforce productivity, and strategic decision-making through scalable engineering solutions and data-driven insights. Responsibilities of the Role: Intelligent Automation & AI Engineering Design, develop, test, and deploy RPA workflows and AI/ML models to automate complex business processes across multiple teams. Design, develop, and deploy enterprise-scale automation solutions supporting cloud, infrastructure, service management, asset management, and cloud financial operations. Build AI-powered workflows, copilots, and intelligent agents that automate routine operational activities and improve decision-making. Develop reusable automation frameworks, APIs, integrations, and self-service capabilities across technology platforms. Leverage machine learning, generative AI, and predictive analytics to identify risks, anomalies, optimization opportunities, and operational trends. Establish development standards, testing practices, security controls, and governance processes for automation and AI solutions. Requirements of the Role: Solid Experience: Minimum 6-9 years of progressive experience in automation engineering, software development, or a related technical discipline, with at least 3 years focused on RPA, AI/ML, or intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines. DevOps & CI/CD: Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices tailored for automation development and deployment. Cloud Platforms: Working knowledge of cloud platforms (AWS, Azure , Snowflake preferred), including containerization, serverless computing, and cloud-native automation patterns Integration & APIs: Experience developing integrations using APIs, middleware, iPaaS solutions, and enterprise service bus technologies, including ServiceNow and ITSM platform integrations. Problem-Solving & Debugging: Strong analytical and debugging skills with the ability to diagnose complex technical issues across automation workflows, integrations, and AI models. Agile & Scrum: Experience contributing to Agile ceremonies, managing technical backlog items, and delivering iteratively in cross-functional teams. Coaching & Guidance: Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering excellence within the team. Documentation & Communication: Strong written and verbal communication skills for creating technical design documents, runbooks, architecture diagrams, and stakeholder-facing presentations. Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is preferred; equivalent practical experience will also be considered. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline is a plus. Familiarity with Agile methodologies or cloud platforms, or related certifications, is beneficial. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
10/27/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: The Principal Automation & AI Engineer serves as the technical leader responsible for building the automation, AI, analytics, and operational intelligence capabilities that enable Cloud & Infrastructure leadership team to effectively govern a global technology organization. The role drives operational excellence, financial accountability, service reliability, asset optimization, workforce productivity, and strategic decision-making through scalable engineering solutions and data-driven insights. Responsibilities of the Role: Intelligent Automation & AI Engineering Design, develop, test, and deploy RPA workflows and AI/ML models to automate complex business processes across multiple teams. Design, develop, and deploy enterprise-scale automation solutions supporting cloud, infrastructure, service management, asset management, and cloud financial operations. Build AI-powered workflows, copilots, and intelligent agents that automate routine operational activities and improve decision-making. Develop reusable automation frameworks, APIs, integrations, and self-service capabilities across technology platforms. Leverage machine learning, generative AI, and predictive analytics to identify risks, anomalies, optimization opportunities, and operational trends. Establish development standards, testing practices, security controls, and governance processes for automation and AI solutions. Requirements of the Role: Solid Experience: Minimum 6-9 years of progressive experience in automation engineering, software development, or a related technical discipline, with at least 3 years focused on RPA, AI/ML, or intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines. DevOps & CI/CD: Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices tailored for automation development and deployment. Cloud Platforms: Working knowledge of cloud platforms (AWS, Azure , Snowflake preferred), including containerization, serverless computing, and cloud-native automation patterns Integration & APIs: Experience developing integrations using APIs, middleware, iPaaS solutions, and enterprise service bus technologies, including ServiceNow and ITSM platform integrations. Problem-Solving & Debugging: Strong analytical and debugging skills with the ability to diagnose complex technical issues across automation workflows, integrations, and AI models. Agile & Scrum: Experience contributing to Agile ceremonies, managing technical backlog items, and delivering iteratively in cross-functional teams. Coaching & Guidance: Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering excellence within the team. Documentation & Communication: Strong written and verbal communication skills for creating technical design documents, runbooks, architecture diagrams, and stakeholder-facing presentations. Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is preferred; equivalent practical experience will also be considered. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline is a plus. Familiarity with Agile methodologies or cloud platforms, or related certifications, is beneficial. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As an Engineer, Investment Technology, you will be working on the application team that builds and supports Separately managed accounts platform. The Fixed Income SMA team relies on high-quality data pipelines and internal tooling to support portfolio management, trading, and research workflows. We are adding a Senior Data Engineer to help build and maintain the data layer behind these systems, with a particular focus on reliable ingestion, data modeling, analytical datasets, and practical internal applications. This role sits within Investment Technology but will work closely with the SMA quantitative research and engineering team. This role is a chance to help shape the data foundation for a fast-growing front-office platform while working closely with a highly technical investment-facing team. The work is practical, visible, and directly connected to trading, research, and portfolio outcomes. Responsibilities of the Role: Build and maintain data pipelines ingesting from internal systems, market data vendors, and operational databases into analytical and application-facing stores Design and manage PostgreSQL and analytical data models that support front-office workflows and quantitative research Develop production Python and SQL code for ETL, validation, enrichment, and data quality monitoring Build and maintain lightweight internal applications and reporting interfaces, including browser-based tools using JavaScript where helpful Support research and analytics workflows involving large financial and time series datasets Partner with quantitative developers and investment users to improve data usability, transparency, and operational reliability Requirements of the Role: 4+ years of experience in data engineering, analytics engineering, or software engineering with a strong data focus Strong Python experience required. Experience with relational databases; PostgresSql / Snowflake experience is a plus. Experience designing and operating ETL pipelines and data models in production Familiarity with dbt, AWS, Docker, Kubernetes (EKS), Kafka, Redis, and cloud data infrastructure is preferred Experience working with financial, transactional, or time series data is strongly preferred Some JavaScript experience for internal tools, dashboards, or data-grid-based interfaces is preferred Solid software engineering habits around testing, code quality, debugging, and documentation The salary range for this position in New York City is $115,000 - $140,000 /year Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
10/27/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As an Engineer, Investment Technology, you will be working on the application team that builds and supports Separately managed accounts platform. The Fixed Income SMA team relies on high-quality data pipelines and internal tooling to support portfolio management, trading, and research workflows. We are adding a Senior Data Engineer to help build and maintain the data layer behind these systems, with a particular focus on reliable ingestion, data modeling, analytical datasets, and practical internal applications. This role sits within Investment Technology but will work closely with the SMA quantitative research and engineering team. This role is a chance to help shape the data foundation for a fast-growing front-office platform while working closely with a highly technical investment-facing team. The work is practical, visible, and directly connected to trading, research, and portfolio outcomes. Responsibilities of the Role: Build and maintain data pipelines ingesting from internal systems, market data vendors, and operational databases into analytical and application-facing stores Design and manage PostgreSQL and analytical data models that support front-office workflows and quantitative research Develop production Python and SQL code for ETL, validation, enrichment, and data quality monitoring Build and maintain lightweight internal applications and reporting interfaces, including browser-based tools using JavaScript where helpful Support research and analytics workflows involving large financial and time series datasets Partner with quantitative developers and investment users to improve data usability, transparency, and operational reliability Requirements of the Role: 4+ years of experience in data engineering, analytics engineering, or software engineering with a strong data focus Strong Python experience required. Experience with relational databases; PostgresSql / Snowflake experience is a plus. Experience designing and operating ETL pipelines and data models in production Familiarity with dbt, AWS, Docker, Kubernetes (EKS), Kafka, Redis, and cloud data infrastructure is preferred Experience working with financial, transactional, or time series data is strongly preferred Some JavaScript experience for internal tools, dashboards, or data-grid-based interfaces is preferred Solid software engineering habits around testing, code quality, debugging, and documentation The salary range for this position in New York City is $115,000 - $140,000 /year Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
10/27/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The ideal location for this role is East Hanover, NJ site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, NJ site for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 15% travel. 1 role - KPI Governance & Councils 1 role - Governance Platforms 1 role - Data Access & Security Job description summary If you are energized by building new capabilities, bringing clarity to complex data environments, and helping Novartis use data responsibly and confidently, we invite you to apply. We are hiring three (3) Associate Director, Data Governance Solutions Leads to join the Data Governance Solutions team within Strategy, Platforms & Transformation (SPT). Together, these leaders will help build and scale enterprise governance capabilities that make data easier to understand, access, protect, and use with confidence. Candidates may be considered for one of the three specializations that most closely align with their experience and technical background. 1.KPI Governance & Councils: In this role, you will establish and lead enterprise approaches for defining, managing, and governing key performance indicators. You will help create a consistent source of truth for metrics and strengthen how leaders evaluate business performance. 2.Governance Platforms: Build-and-run owner for the Data governance platform. This person stands up the Data Governance platform as the unified system of record for catalog, lineage, glossary, and data contracts, then keeps it healthy in production. Directly enables the Data Command Center's data pipeline-health, observability, and incident-management panels. 3.Data Access & Security: Operates fine-grained, policy-based (attribute/purpose-based) access control across Novartis data layers. This role is responsible for enabling and scaling fine-grained data access controls in production for both Humans and AI agents. About the Role Key Responsibilities: Provide strategic and operational leadership for a key enterprise data governance capability, translating business priorities and data strategy into scalable solutions. Help define, implement, and continuously improve governance frameworks, operating models, policies, standards, controls, and decision rights. Partner with business leaders, data owners, technology teams, analytics functions, privacy, legal, security, and compliance stakeholders to align governance priorities and drive adoption. Establish clear ownership, accountability, and escalation paths for governance decisions, risks, issues, and remediation activities. Support the execution of the enterprise data strategy and the development of Data Command Center capabilities by improving visibility into data health, access, performance, and governance. Lead cross-functional forums, working groups, or implementation activities that enable timely decisions and measurable outcomes. Develop meaningful reporting, scorecards, and performance indicators that communicate governance maturity, adoption, risk, and operational health to senior stakeholders. Manage relationships with external vendors and implementation partners, including scope, deliverables, milestones, quality, risks, and budget considerations. Identify opportunities to simplify governance processes, strengthen controls, improve user experience, and accelerate responsible access to trusted data. Champion a practical, collaborative governance culture that balances business enablement, innovation, risk management, and regulatory expectations. Essential Requirements: Education: Bachelor's degree in Business Administration, Information Systems, Data Management, Engineering, Finance, or a related field. KPI Governance & Councils / Governance Platforms Roles Minimum 8+ years in data platform engineering or data governance tooling; hands-on experience standing up a catalog/governance platform from scratch (Collate /OpenMetadata, Atlan, Collibra, or Alation). Preferred in Pharma or Life Sciences industries Strong SQL and working knowledge of Snowflake; experience integrating catalog tools with cloud data warehouses. Understanding of data lineage, metadata management, and data-contract concepts (ODCS or equivalent). Experience managing implementation vendors/surge teams against scope and timeline. Comfortable operating in an ambiguous, build-phase environment and turning a target-state diagram into running infrastructure. Data Access & Security Role Minimum 8+ years in data access governance, identity & access management, or data security within a regulated industry. Preferred in Pharma or Life Sciences industries Hands-on experience with Immuta (or equivalent policy-based access tools - Privacera, Satori) and Snowflake RBAC/row-column security. Working knowledge of HIPAA, GDPR, and pharma-specific compliance regimes (OIG, Sunshine Act, 340B) as they affect data access design. Experience designing access frameworks for non-human/agent identities is a strong plus given the agentic AI direction of this program. Comfortable operating at the intersection of engineering, legal, and compliance. Novartis Compensation Summary: The salary for this position is expected to range between $145,600.00 and $270,400.00 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
10/27/2026
Full time
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The ideal location for this role is East Hanover, NJ site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, NJ site for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 15% travel. 1 role - KPI Governance & Councils 1 role - Governance Platforms 1 role - Data Access & Security Job description summary If you are energized by building new capabilities, bringing clarity to complex data environments, and helping Novartis use data responsibly and confidently, we invite you to apply. We are hiring three (3) Associate Director, Data Governance Solutions Leads to join the Data Governance Solutions team within Strategy, Platforms & Transformation (SPT). Together, these leaders will help build and scale enterprise governance capabilities that make data easier to understand, access, protect, and use with confidence. Candidates may be considered for one of the three specializations that most closely align with their experience and technical background. 1.KPI Governance & Councils: In this role, you will establish and lead enterprise approaches for defining, managing, and governing key performance indicators. You will help create a consistent source of truth for metrics and strengthen how leaders evaluate business performance. 2.Governance Platforms: Build-and-run owner for the Data governance platform. This person stands up the Data Governance platform as the unified system of record for catalog, lineage, glossary, and data contracts, then keeps it healthy in production. Directly enables the Data Command Center's data pipeline-health, observability, and incident-management panels. 3.Data Access & Security: Operates fine-grained, policy-based (attribute/purpose-based) access control across Novartis data layers. This role is responsible for enabling and scaling fine-grained data access controls in production for both Humans and AI agents. About the Role Key Responsibilities: Provide strategic and operational leadership for a key enterprise data governance capability, translating business priorities and data strategy into scalable solutions. Help define, implement, and continuously improve governance frameworks, operating models, policies, standards, controls, and decision rights. Partner with business leaders, data owners, technology teams, analytics functions, privacy, legal, security, and compliance stakeholders to align governance priorities and drive adoption. Establish clear ownership, accountability, and escalation paths for governance decisions, risks, issues, and remediation activities. Support the execution of the enterprise data strategy and the development of Data Command Center capabilities by improving visibility into data health, access, performance, and governance. Lead cross-functional forums, working groups, or implementation activities that enable timely decisions and measurable outcomes. Develop meaningful reporting, scorecards, and performance indicators that communicate governance maturity, adoption, risk, and operational health to senior stakeholders. Manage relationships with external vendors and implementation partners, including scope, deliverables, milestones, quality, risks, and budget considerations. Identify opportunities to simplify governance processes, strengthen controls, improve user experience, and accelerate responsible access to trusted data. Champion a practical, collaborative governance culture that balances business enablement, innovation, risk management, and regulatory expectations. Essential Requirements: Education: Bachelor's degree in Business Administration, Information Systems, Data Management, Engineering, Finance, or a related field. KPI Governance & Councils / Governance Platforms Roles Minimum 8+ years in data platform engineering or data governance tooling; hands-on experience standing up a catalog/governance platform from scratch (Collate /OpenMetadata, Atlan, Collibra, or Alation). Preferred in Pharma or Life Sciences industries Strong SQL and working knowledge of Snowflake; experience integrating catalog tools with cloud data warehouses. Understanding of data lineage, metadata management, and data-contract concepts (ODCS or equivalent). Experience managing implementation vendors/surge teams against scope and timeline. Comfortable operating in an ambiguous, build-phase environment and turning a target-state diagram into running infrastructure. Data Access & Security Role Minimum 8+ years in data access governance, identity & access management, or data security within a regulated industry. Preferred in Pharma or Life Sciences industries Hands-on experience with Immuta (or equivalent policy-based access tools - Privacera, Satori) and Snowflake RBAC/row-column security. Working knowledge of HIPAA, GDPR, and pharma-specific compliance regimes (OIG, Sunshine Act, 340B) as they affect data access design. Experience designing access frameworks for non-human/agent identities is a strong plus given the agentic AI direction of this program. Comfortable operating at the intersection of engineering, legal, and compliance. Novartis Compensation Summary: The salary for this position is expected to range between $145,600.00 and $270,400.00 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Job Description Job Description At Findorff, we bring expertise and value that extends far beyond construction. Since 1890, we've built our reputation on strong relationships, innovative thinking, and a commitment to helping our teams and clients succeed. As technology becomes increasingly essential to how we operate, we're investing in modern data solutions that empower smarter decisions, improve business performance, and support the future of our organization. What We Are Looking For 5+ years of experience in data engineering, data architecture, database development, data integration, or a related field Demonstrated success designing and supporting enterprise data platforms, data warehouses, lakehouses, and cloud-based data solutions Advanced expertise in SQL, Python, data modeling, relational databases, and modern integration practices Experience building and maintaining scalable data pipelines, ETL processes, and enterprise integrations across multiple business applications Strong understanding of data governance, quality management, security, and architecture best practices Proven ability to partner with technical and non-technical stakeholders to translate business needs into practical data solutions Located in or willing to work from Madison or Milwaukee, Wisconsin (Hybrid/Remote) What You'll Do As a Sr. Data Architect Engineer, you'll lead the strategy, design, and development of enterprise data solutions that support business operations, analytics, artificial intelligence initiatives, and data-driven decision making. You'll serve as a technical leader responsible for creating scalable, secure, and reliable data architecture while partnering with stakeholders across the organization to unlock the value of enterprise data. Design Enterprise Data Architecture: Develop and maintain scalable data architectures, models, standards, and integration frameworks that support both operational and analytical business needs. Lead the evolution of Findorff's enterprise data platform and establish best practices for future growth. Build and Optimize Data Solutions: Design, develop, and support data pipelines, ETL processes, APIs, and cloud-based integrations that connect critical business systems and deliver reliable, high-quality data across the organization. Drive Data Governance and Quality: Champion data integrity, governance, security, and ownership standards while identifying opportunities to improve consistency, reliability, accessibility, and trust in enterprise data. Lead Business-Focused Innovation: Partner with business leaders, analysts, and application owners to understand requirements, define solution strategies, and support initiatives related to reporting, analytics, process improvement, and artificial intelligence. Ensure Platform Reliability and Performance: Monitor, troubleshoot, and continuously improve data platforms and integrations through testing, observability, automation, and performance optimization, ensuring dependable access to critical business information. Why Findorff Employee-owned (ESOP) to build long-term wealth alongside your career Technology transformation opportunities that allow you to make a meaningful impact on the future of the organization Modern cloud-based ecosystem including Snowflake, Azure, and enterprise business applications Collaborative culture where technology partners closely with business teams to solve real-world challenges People-first environment grounded in respect, accountability, innovation, and continuous improvement Plus: Competitive compensation, 401(k) + contributions, profit sharing, generous PTO, paid parental leave, on-site fitness center, heated parking, and strong career development support. Diversity matters. Findorff recognizes the talents of all, appreciating the different backgrounds, experiences, and perspectives that make us a stronger company and partner for the communities we live and work in. Findorff provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
10/27/2026
Full time
Job Description Job Description At Findorff, we bring expertise and value that extends far beyond construction. Since 1890, we've built our reputation on strong relationships, innovative thinking, and a commitment to helping our teams and clients succeed. As technology becomes increasingly essential to how we operate, we're investing in modern data solutions that empower smarter decisions, improve business performance, and support the future of our organization. What We Are Looking For 5+ years of experience in data engineering, data architecture, database development, data integration, or a related field Demonstrated success designing and supporting enterprise data platforms, data warehouses, lakehouses, and cloud-based data solutions Advanced expertise in SQL, Python, data modeling, relational databases, and modern integration practices Experience building and maintaining scalable data pipelines, ETL processes, and enterprise integrations across multiple business applications Strong understanding of data governance, quality management, security, and architecture best practices Proven ability to partner with technical and non-technical stakeholders to translate business needs into practical data solutions Located in or willing to work from Madison or Milwaukee, Wisconsin (Hybrid/Remote) What You'll Do As a Sr. Data Architect Engineer, you'll lead the strategy, design, and development of enterprise data solutions that support business operations, analytics, artificial intelligence initiatives, and data-driven decision making. You'll serve as a technical leader responsible for creating scalable, secure, and reliable data architecture while partnering with stakeholders across the organization to unlock the value of enterprise data. Design Enterprise Data Architecture: Develop and maintain scalable data architectures, models, standards, and integration frameworks that support both operational and analytical business needs. Lead the evolution of Findorff's enterprise data platform and establish best practices for future growth. Build and Optimize Data Solutions: Design, develop, and support data pipelines, ETL processes, APIs, and cloud-based integrations that connect critical business systems and deliver reliable, high-quality data across the organization. Drive Data Governance and Quality: Champion data integrity, governance, security, and ownership standards while identifying opportunities to improve consistency, reliability, accessibility, and trust in enterprise data. Lead Business-Focused Innovation: Partner with business leaders, analysts, and application owners to understand requirements, define solution strategies, and support initiatives related to reporting, analytics, process improvement, and artificial intelligence. Ensure Platform Reliability and Performance: Monitor, troubleshoot, and continuously improve data platforms and integrations through testing, observability, automation, and performance optimization, ensuring dependable access to critical business information. Why Findorff Employee-owned (ESOP) to build long-term wealth alongside your career Technology transformation opportunities that allow you to make a meaningful impact on the future of the organization Modern cloud-based ecosystem including Snowflake, Azure, and enterprise business applications Collaborative culture where technology partners closely with business teams to solve real-world challenges People-first environment grounded in respect, accountability, innovation, and continuous improvement Plus: Competitive compensation, 401(k) + contributions, profit sharing, generous PTO, paid parental leave, on-site fitness center, heated parking, and strong career development support. Diversity matters. Findorff recognizes the talents of all, appreciating the different backgrounds, experiences, and perspectives that make us a stronger company and partner for the communities we live and work in. Findorff provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Job Description Job Description At Findorff, we bring expertise and value that extends far beyond construction. Since 1890, we've built our reputation on strong relationships, innovative thinking, and a commitment to helping our teams and clients succeed. As technology becomes increasingly essential to how we operate, we're investing in modern data solutions that empower smarter decisions, improve business performance, and support the future of our organization. What We Are Looking For 5+ years of experience in data engineering, data architecture, database development, data integration, or a related field Demonstrated success designing and supporting enterprise data platforms, data warehouses, lakehouses, and cloud-based data solutions Advanced expertise in SQL, Python, data modeling, relational databases, and modern integration practices Experience building and maintaining scalable data pipelines, ETL processes, and enterprise integrations across multiple business applications Strong understanding of data governance, quality management, security, and architecture best practices Proven ability to partner with technical and non-technical stakeholders to translate business needs into practical data solutions Located in or willing to work from Madison or Milwaukee, Wisconsin (Hybrid/Remote) What You'll Do As a Sr. Data Architect Engineer, you'll lead the strategy, design, and development of enterprise data solutions that support business operations, analytics, artificial intelligence initiatives, and data-driven decision making. You'll serve as a technical leader responsible for creating scalable, secure, and reliable data architecture while partnering with stakeholders across the organization to unlock the value of enterprise data. Design Enterprise Data Architecture: Develop and maintain scalable data architectures, models, standards, and integration frameworks that support both operational and analytical business needs. Lead the evolution of Findorff's enterprise data platform and establish best practices for future growth. Build and Optimize Data Solutions: Design, develop, and support data pipelines, ETL processes, APIs, and cloud-based integrations that connect critical business systems and deliver reliable, high-quality data across the organization. Drive Data Governance and Quality: Champion data integrity, governance, security, and ownership standards while identifying opportunities to improve consistency, reliability, accessibility, and trust in enterprise data. Lead Business-Focused Innovation: Partner with business leaders, analysts, and application owners to understand requirements, define solution strategies, and support initiatives related to reporting, analytics, process improvement, and artificial intelligence. Ensure Platform Reliability and Performance: Monitor, troubleshoot, and continuously improve data platforms and integrations through testing, observability, automation, and performance optimization, ensuring dependable access to critical business information. Why Findorff Employee-owned (ESOP) to build long-term wealth alongside your career Technology transformation opportunities that allow you to make a meaningful impact on the future of the organization Modern cloud-based ecosystem including Snowflake, Azure, and enterprise business applications Collaborative culture where technology partners closely with business teams to solve real-world challenges People-first environment grounded in respect, accountability, innovation, and continuous improvement Plus: Competitive compensation, 401(k) + contributions, profit sharing, generous PTO, paid parental leave, on-site fitness center, heated parking, and strong career development support. Diversity matters. Findorff recognizes the talents of all, appreciating the different backgrounds, experiences, and perspectives that make us a stronger company and partner for the communities we live and work in. Findorff provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
10/27/2026
Full time
Job Description Job Description At Findorff, we bring expertise and value that extends far beyond construction. Since 1890, we've built our reputation on strong relationships, innovative thinking, and a commitment to helping our teams and clients succeed. As technology becomes increasingly essential to how we operate, we're investing in modern data solutions that empower smarter decisions, improve business performance, and support the future of our organization. What We Are Looking For 5+ years of experience in data engineering, data architecture, database development, data integration, or a related field Demonstrated success designing and supporting enterprise data platforms, data warehouses, lakehouses, and cloud-based data solutions Advanced expertise in SQL, Python, data modeling, relational databases, and modern integration practices Experience building and maintaining scalable data pipelines, ETL processes, and enterprise integrations across multiple business applications Strong understanding of data governance, quality management, security, and architecture best practices Proven ability to partner with technical and non-technical stakeholders to translate business needs into practical data solutions Located in or willing to work from Madison or Milwaukee, Wisconsin (Hybrid/Remote) What You'll Do As a Sr. Data Architect Engineer, you'll lead the strategy, design, and development of enterprise data solutions that support business operations, analytics, artificial intelligence initiatives, and data-driven decision making. You'll serve as a technical leader responsible for creating scalable, secure, and reliable data architecture while partnering with stakeholders across the organization to unlock the value of enterprise data. Design Enterprise Data Architecture: Develop and maintain scalable data architectures, models, standards, and integration frameworks that support both operational and analytical business needs. Lead the evolution of Findorff's enterprise data platform and establish best practices for future growth. Build and Optimize Data Solutions: Design, develop, and support data pipelines, ETL processes, APIs, and cloud-based integrations that connect critical business systems and deliver reliable, high-quality data across the organization. Drive Data Governance and Quality: Champion data integrity, governance, security, and ownership standards while identifying opportunities to improve consistency, reliability, accessibility, and trust in enterprise data. Lead Business-Focused Innovation: Partner with business leaders, analysts, and application owners to understand requirements, define solution strategies, and support initiatives related to reporting, analytics, process improvement, and artificial intelligence. Ensure Platform Reliability and Performance: Monitor, troubleshoot, and continuously improve data platforms and integrations through testing, observability, automation, and performance optimization, ensuring dependable access to critical business information. Why Findorff Employee-owned (ESOP) to build long-term wealth alongside your career Technology transformation opportunities that allow you to make a meaningful impact on the future of the organization Modern cloud-based ecosystem including Snowflake, Azure, and enterprise business applications Collaborative culture where technology partners closely with business teams to solve real-world challenges People-first environment grounded in respect, accountability, innovation, and continuous improvement Plus: Competitive compensation, 401(k) + contributions, profit sharing, generous PTO, paid parental leave, on-site fitness center, heated parking, and strong career development support. Diversity matters. Findorff recognizes the talents of all, appreciating the different backgrounds, experiences, and perspectives that make us a stronger company and partner for the communities we live and work in. Findorff provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
10/27/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
Hourly Pay Range: $34.41 - $53.34 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Data Scientist I - Epic Model Monitoring Location: Skokie, IL Full Time Hours: Monday-Friday, 8:00am - 4:30pm Required Travel: local travel to other corporate sites may be needed Hybrid Position A Brief Overview: As a Data Scientist I at Endeavor Health, you will be responsible for developing solutions for automated monitoring of quantitative, predictive, prescriptive, and Generative AI (GenAI) models on Epic. Your primary focus will be on automating the monitoring of our clinical prediction models and developing dashboards for GenAI models, heavily leveraging our Epic ecosystem - specifically Epic Cogito and Nebula, to monitor patient outcomes and increase operational efficiency. This role requires intellectual curiosity, proactive problem-solving, and the ability to work independently in a fast-evolving, ambiguous environment. We're looking for people who thrive even when the roadmap is still being drawn. Effective communication skills are essential to translate complex AI concepts for non-technical stakeholders and collaborate across product, engineering, and business teams. You will serve as an internal Epic expert, leading efforts to understand, enhance, develop frameworks for AI monitoring, and rapidly prototype and build innovative features that improve accuracy, reliability, and user experience. What you will do: Model & GenAI Monitoring: Design, build, and maintain automated systems for monitoring the performance, health, and usage of both predictive models and GenAI models running in Epic Nebula and tracked via Cogito dashboards. Data Collection and Preprocessing: Collect, clean, and preprocess data directly from Epic Chronicles, Caboodle, and the enterprise data lakehouse to prepare it for analysis and model validation. Implementation and Validation: Assist in the end-to-end analytics product lifecycle, from initial configuration and testing in a proof-of-concept environment to deployment and validation in production. Analysis and Communication: Document your work and communicate findings to both technical and non-technical stakeholders. Collaboration: Work closely with peers, IT experts, and clinical teams to help design and develop end-to-end analytics products and ensure that model outputs are effectively integrated into clinical workflows. What you will need: Education: Bachelor's in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related fields. Certification: Epic Cogito Fundamentals (or within 90 days of hire date) Experience: Minimum 2 years of experience in data science, analytics, or similar role. Minimum 2 years of experience with Epic is a plus. Unique or Preferred Skills: Intellectual curiosity. Advanced degree in statistics (preferred), applied mathematics, predictive analytics, computer science, operations research or related quantitative discipline. Proven, hands-on experience navigating, querying, and working within Epic Cogito and Nebula. High proficiency in Python and SQL. Familiarity with snowflake or other data lakehouse platforms is a plus. Good written and verbal communication skills. Familiarity with or interest in the healthcare industry is a plus. Benefits (For full time or part time positions): Incentive pay for select positions Opportunity for annual increases based on performance Career Pathways to Promote Professional Growth and Development Various Medical, Dental, Pet and Vision options Tuition Reimbursement Free Parking Wellness Program Savings Plan Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals - Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) - all recognized as Magnet hospitals for nursing excellence. For more information, visit . When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website () to better understand how Endeavor Health delivers on its mission to "help everyone in our communities be their best". Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. At Endeavor Health, we are united by a shared commitment to working together to create a culture of connection and belonging-each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. Every person, every time. We are committed to fostering an environment where all team members can be their best, learn, and pursue excellence together. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.
10/27/2026
Full time
Hourly Pay Range: $34.41 - $53.34 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Data Scientist I - Epic Model Monitoring Location: Skokie, IL Full Time Hours: Monday-Friday, 8:00am - 4:30pm Required Travel: local travel to other corporate sites may be needed Hybrid Position A Brief Overview: As a Data Scientist I at Endeavor Health, you will be responsible for developing solutions for automated monitoring of quantitative, predictive, prescriptive, and Generative AI (GenAI) models on Epic. Your primary focus will be on automating the monitoring of our clinical prediction models and developing dashboards for GenAI models, heavily leveraging our Epic ecosystem - specifically Epic Cogito and Nebula, to monitor patient outcomes and increase operational efficiency. This role requires intellectual curiosity, proactive problem-solving, and the ability to work independently in a fast-evolving, ambiguous environment. We're looking for people who thrive even when the roadmap is still being drawn. Effective communication skills are essential to translate complex AI concepts for non-technical stakeholders and collaborate across product, engineering, and business teams. You will serve as an internal Epic expert, leading efforts to understand, enhance, develop frameworks for AI monitoring, and rapidly prototype and build innovative features that improve accuracy, reliability, and user experience. What you will do: Model & GenAI Monitoring: Design, build, and maintain automated systems for monitoring the performance, health, and usage of both predictive models and GenAI models running in Epic Nebula and tracked via Cogito dashboards. Data Collection and Preprocessing: Collect, clean, and preprocess data directly from Epic Chronicles, Caboodle, and the enterprise data lakehouse to prepare it for analysis and model validation. Implementation and Validation: Assist in the end-to-end analytics product lifecycle, from initial configuration and testing in a proof-of-concept environment to deployment and validation in production. Analysis and Communication: Document your work and communicate findings to both technical and non-technical stakeholders. Collaboration: Work closely with peers, IT experts, and clinical teams to help design and develop end-to-end analytics products and ensure that model outputs are effectively integrated into clinical workflows. What you will need: Education: Bachelor's in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related fields. Certification: Epic Cogito Fundamentals (or within 90 days of hire date) Experience: Minimum 2 years of experience in data science, analytics, or similar role. Minimum 2 years of experience with Epic is a plus. Unique or Preferred Skills: Intellectual curiosity. Advanced degree in statistics (preferred), applied mathematics, predictive analytics, computer science, operations research or related quantitative discipline. Proven, hands-on experience navigating, querying, and working within Epic Cogito and Nebula. High proficiency in Python and SQL. Familiarity with snowflake or other data lakehouse platforms is a plus. Good written and verbal communication skills. Familiarity with or interest in the healthcare industry is a plus. Benefits (For full time or part time positions): Incentive pay for select positions Opportunity for annual increases based on performance Career Pathways to Promote Professional Growth and Development Various Medical, Dental, Pet and Vision options Tuition Reimbursement Free Parking Wellness Program Savings Plan Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals - Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) - all recognized as Magnet hospitals for nursing excellence. For more information, visit . When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website () to better understand how Endeavor Health delivers on its mission to "help everyone in our communities be their best". Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. At Endeavor Health, we are united by a shared commitment to working together to create a culture of connection and belonging-each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. Every person, every time. We are committed to fostering an environment where all team members can be their best, learn, and pursue excellence together. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.
Job Description Job Description YOUR ROLE As a Solution Architect focusing on Data Governance and Data Engineering, you'll be embedded with our Federal DoW/DoD customers as their dedicated technical partner. You'll have the opportunity to: Drive Technical Success : Lead customers through their complete journey from initial onboarding to advanced use case expansion, ensuring seamless adoption and implementation of Immuta solutions. Be a Trusted Technical Partner : Provide unparalleled technical domain expertise and solution design, becoming the go-to expert for customers navigating complex governance and compliance challenges in government environments. Innovate at the Edge : Design and implement cutting-edge proof of concepts and novel governance solutions, pushing the boundaries of what's possible within customer technology ecosystems. Shape Product Evolution : Serve as a vital feedback channel, translating customer insights and field experiences directly back to our Product team to influence future development and innovation. Build Strategic Partnerships : Collaborate closely with Customer Success Managers (CSMs) and field leadership to execute comprehensive account strategies and drive long-term customer outcomes. WHAT YOU'LL DO Partner with the Public Sector Customer Success Manager and Technical Field Leadership to define a comprehensive technical strategy for each customer account. Serve as the primary technical liaison to customer leadership, translating complex technical concepts into strategic business outcomes. Lead technical and functional meetings to advance strategic objectives and push forward project deliverables. Build novel technology proof-of-concepts (PoCs) and compelling demonstrations across multiple cloud environments and platforms. Serve as the subject matter expert on platform's technical integrations, configuration, and policy construction. Implement solutions directly within the customer's technology stack and represent current best practices. Contribute to internal knowledge bases and provide ad-hoc support to our partner's internal teams. Maintain competency in the platform's technical adjacencies, including data platforms (Snowflake, Databricks, Starburst), commercial cloud offerings (AWS, Azure, GCP), IDM systems, and data catalog tools. Requirements Due to the nature of our U.S. Government contracts, qualified applicants must be U.S. citizens and possess an active TS/SCI security clearance. 5+ years of working experience as a technology consultant, preferably with government-focused clients in the DoW/DoD, IC, and Federal Civilian spaces. Experience delivering on-prem solutions in air-gapped networks. IAM integration experience (e.g., PingFederate). Experience with Immuta or similar data/AI governance tool preferred Working experience in data engineering or data governance roles. Strong experience with modern data platforms like Trino, Postgres/RDBMS, as well as Snowflake, and Databricks. Demonstrated knowledge of cloud data architecture, data analytics, and programming. An understanding of data access through identity management and the purpose of data catalog tools. Exceptional ability to analyze complex technical concepts and translate them into business terms for both technical and non-technical audiences. The aptitude to lead and influence customer opinion on technology adoption and solution design. Strong technical problem-solving skills and the ability to navigate complex customer requests and projects. A high degree of comfort with uncertainty and changing priorities in a dynamic, fast-paced environment. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development
10/26/2026
Full time
Job Description Job Description YOUR ROLE As a Solution Architect focusing on Data Governance and Data Engineering, you'll be embedded with our Federal DoW/DoD customers as their dedicated technical partner. You'll have the opportunity to: Drive Technical Success : Lead customers through their complete journey from initial onboarding to advanced use case expansion, ensuring seamless adoption and implementation of Immuta solutions. Be a Trusted Technical Partner : Provide unparalleled technical domain expertise and solution design, becoming the go-to expert for customers navigating complex governance and compliance challenges in government environments. Innovate at the Edge : Design and implement cutting-edge proof of concepts and novel governance solutions, pushing the boundaries of what's possible within customer technology ecosystems. Shape Product Evolution : Serve as a vital feedback channel, translating customer insights and field experiences directly back to our Product team to influence future development and innovation. Build Strategic Partnerships : Collaborate closely with Customer Success Managers (CSMs) and field leadership to execute comprehensive account strategies and drive long-term customer outcomes. WHAT YOU'LL DO Partner with the Public Sector Customer Success Manager and Technical Field Leadership to define a comprehensive technical strategy for each customer account. Serve as the primary technical liaison to customer leadership, translating complex technical concepts into strategic business outcomes. Lead technical and functional meetings to advance strategic objectives and push forward project deliverables. Build novel technology proof-of-concepts (PoCs) and compelling demonstrations across multiple cloud environments and platforms. Serve as the subject matter expert on platform's technical integrations, configuration, and policy construction. Implement solutions directly within the customer's technology stack and represent current best practices. Contribute to internal knowledge bases and provide ad-hoc support to our partner's internal teams. Maintain competency in the platform's technical adjacencies, including data platforms (Snowflake, Databricks, Starburst), commercial cloud offerings (AWS, Azure, GCP), IDM systems, and data catalog tools. Requirements Due to the nature of our U.S. Government contracts, qualified applicants must be U.S. citizens and possess an active TS/SCI security clearance. 5+ years of working experience as a technology consultant, preferably with government-focused clients in the DoW/DoD, IC, and Federal Civilian spaces. Experience delivering on-prem solutions in air-gapped networks. IAM integration experience (e.g., PingFederate). Experience with Immuta or similar data/AI governance tool preferred Working experience in data engineering or data governance roles. Strong experience with modern data platforms like Trino, Postgres/RDBMS, as well as Snowflake, and Databricks. Demonstrated knowledge of cloud data architecture, data analytics, and programming. An understanding of data access through identity management and the purpose of data catalog tools. Exceptional ability to analyze complex technical concepts and translate them into business terms for both technical and non-technical audiences. The aptitude to lead and influence customer opinion on technology adoption and solution design. Strong technical problem-solving skills and the ability to navigate complex customer requests and projects. A high degree of comfort with uncertainty and changing priorities in a dynamic, fast-paced environment. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development
Job Description Job Description Company Description Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. Job Description We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards. What You Will Be Doing : Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. Translate conceptual and logical models into Snowflake-ready schemas, tables, and views. Collaborate with data engineers to refine ETL/ELT processes and data integration patterns. Align models and metadata with governance standards and tools, including Collibra. Ensure all modeling and transformation logic is well-documented for traceability and compliance. Support performance tuning and optimization of data pipelines. Work in a distributed, global environment with both technical and business stakeholders. Qualifications Requirements 4-7 years of experience as a Data Modeler or similar role. Strong expertise in Snowflake data modeling and SQL. Strong business partnering, communication, and stakeholder management skills, with the ability to gather, challenge, and translate business requirements into scalable data solutions. Proven experience working directly with business users, product owners, and technical teams to define data requirements, business rules, and data models. Strong understanding of ETL/ELT and data integration concepts; experience with dbt, Matillion, or Fivetran is a plus. Data Vault 2.0 experience is required. Experience with metadata and data governance platforms, ideally Collibra . Familiarity with AWS S3 is a plus. Solid understanding of data modeling methodologies, including Data Vault, Star Schema, and Normalization. Excellent communication, presentation, and documentation skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently in a remote, cross-functional environment. Preferred Experience within pharmaceutical or life sciences organizations. Familiarity with data quality tools such as Ataccama . Experience working in Agile environments and facilitating requirements-gathering workshops. Additional Information WHY YOU SHOULD JOIN FUSION: At Fusion, you'll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You'll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes. You'll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork-empowering you to grow both professionally and personally. Joining Fusion means becoming part of a company that: Builds strong, trusted partnerships with clients , delivering tailored solutions that create real business value. Drives delivery excellence , holding ourselves accountable for the quality and impact of every outcome. Encourages entrepreneurial thinking , empowering you to take initiative, solve problems, and lead change. Operates with a truly global mindset , where diverse perspectives, cultures, and collaboration fuel our success. WHAT WE OFFER - FUSION BENEFITS We've designed our benefits to support your growth, well-being, and global mobility. Flexibility & Balance Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location. Recharge Freely: Take the time you need with flexible time off-beyond standard holiday allowances. Connect as a Team: Use your team's integration budget to meet, collaborate, and bond. Celebrate Your Birthday: Receive a special gift from Fusion on your birthday. Growth & Development Invest in Your Learning: Access CHF 1,500 annually for professional development. Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills. Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms. Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change. Recognition & Reward Earn What You're Worth: Receive a competitive salary and benefits package that reflects your impact. Refer Talent: Get rewarded for recommending new hires through our referral program. Stay Rewarded: Access loyalty-based benefits starting from your third year via the Unity Scheme. Global Mobility & Local Support Relocate with Ease: Receive financial assistance when moving for work. Navigate Global Moves: Get help with visas, permits, and international assignments. Benefit Locally: Enjoy perks tailored to your country of residence. Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success. OUR SELECTION PROCESS: Your time is valuable. That's why our hiring process is clear, efficient, and focused on mutual fit: Upload Your CV - Submit your application using the relevant button, depending on the job platform (approx. 3 minutes). Wait for Profile Review - Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks). Join an Introductory Call - Our Talent Acquisition team will arrange a brief conversation (15-30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations. Attend a Technical Interview - Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail. Participate in a Client Interview (if applicable) - For some roles, you may be invited to a client-facing discussion (30-60 minutes online). Receive Final Feedback - We aim to share timely feedback and move forward quickly. Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.
10/26/2026
Full time
Job Description Job Description Company Description Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. Job Description We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards. What You Will Be Doing : Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. Translate conceptual and logical models into Snowflake-ready schemas, tables, and views. Collaborate with data engineers to refine ETL/ELT processes and data integration patterns. Align models and metadata with governance standards and tools, including Collibra. Ensure all modeling and transformation logic is well-documented for traceability and compliance. Support performance tuning and optimization of data pipelines. Work in a distributed, global environment with both technical and business stakeholders. Qualifications Requirements 4-7 years of experience as a Data Modeler or similar role. Strong expertise in Snowflake data modeling and SQL. Strong business partnering, communication, and stakeholder management skills, with the ability to gather, challenge, and translate business requirements into scalable data solutions. Proven experience working directly with business users, product owners, and technical teams to define data requirements, business rules, and data models. Strong understanding of ETL/ELT and data integration concepts; experience with dbt, Matillion, or Fivetran is a plus. Data Vault 2.0 experience is required. Experience with metadata and data governance platforms, ideally Collibra . Familiarity with AWS S3 is a plus. Solid understanding of data modeling methodologies, including Data Vault, Star Schema, and Normalization. Excellent communication, presentation, and documentation skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently in a remote, cross-functional environment. Preferred Experience within pharmaceutical or life sciences organizations. Familiarity with data quality tools such as Ataccama . Experience working in Agile environments and facilitating requirements-gathering workshops. Additional Information WHY YOU SHOULD JOIN FUSION: At Fusion, you'll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You'll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes. You'll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork-empowering you to grow both professionally and personally. Joining Fusion means becoming part of a company that: Builds strong, trusted partnerships with clients , delivering tailored solutions that create real business value. Drives delivery excellence , holding ourselves accountable for the quality and impact of every outcome. Encourages entrepreneurial thinking , empowering you to take initiative, solve problems, and lead change. Operates with a truly global mindset , where diverse perspectives, cultures, and collaboration fuel our success. WHAT WE OFFER - FUSION BENEFITS We've designed our benefits to support your growth, well-being, and global mobility. Flexibility & Balance Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location. Recharge Freely: Take the time you need with flexible time off-beyond standard holiday allowances. Connect as a Team: Use your team's integration budget to meet, collaborate, and bond. Celebrate Your Birthday: Receive a special gift from Fusion on your birthday. Growth & Development Invest in Your Learning: Access CHF 1,500 annually for professional development. Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills. Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms. Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change. Recognition & Reward Earn What You're Worth: Receive a competitive salary and benefits package that reflects your impact. Refer Talent: Get rewarded for recommending new hires through our referral program. Stay Rewarded: Access loyalty-based benefits starting from your third year via the Unity Scheme. Global Mobility & Local Support Relocate with Ease: Receive financial assistance when moving for work. Navigate Global Moves: Get help with visas, permits, and international assignments. Benefit Locally: Enjoy perks tailored to your country of residence. Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success. OUR SELECTION PROCESS: Your time is valuable. That's why our hiring process is clear, efficient, and focused on mutual fit: Upload Your CV - Submit your application using the relevant button, depending on the job platform (approx. 3 minutes). Wait for Profile Review - Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks). Join an Introductory Call - Our Talent Acquisition team will arrange a brief conversation (15-30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations. Attend a Technical Interview - Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail. Participate in a Client Interview (if applicable) - For some roles, you may be invited to a client-facing discussion (30-60 minutes online). Receive Final Feedback - We aim to share timely feedback and move forward quickly. Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.
Job Description Job Description Company Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description We are seeking a Senior Data Modeler to define, evolve, and govern our enterprise-wide North Star Data Model. This role will make data consistent, interoperable, discoverable, and reusable across business domains, products, analytics, and AI use cases. The Senior Data Modeler will work with Product, domain experts, Data Engineering, Analytics, Architecture, Governance, and Security to translate business concepts into a shared enterprise data language and practical models that teams can implement across the Bronze, Silver, and Gold layers of our data platform. This is not a role focused only on designing tables for individual projects. It owns the connective tissue between domain models: the common entities, identifiers, relationships, definitions, metadata, and standards that allow trusted data products to work together across the enterprise. What you will do Establish the enterprise North Star Data Model Define and maintain enterprise conceptual, logical, and physical data models across core business domains. Establish canonical business entities, shared dimensions, reference data, identifiers, relationships, and lifecycle states. Create a pragmatic model that supports domain autonomy while enabling cross-domain analysis and data sharing. Maintain an enterprise ontology, business glossary, and semantic definitions so that important terms and metrics mean the same thing across products and teams. Design for reuse, extensibility, regional variation, and future use cases while avoiding unnecessary centralization. Model the Bronze, Silver, and Gold data layers Define modeling principles and required artifacts for each layer: Bronze: Preserve source fidelity, source lineage, ingestion metadata, auditability, and raw-data contracts. Silver: Standardize and validate data; apply common identifiers, canonical entities, conformed dimensions, data-quality rules, and cross-domain integration patterns. Gold: Deliver governed, business-ready data products, semantic models, certified metrics, and analytics-ready structures for dashboards, self-service analysis, and AI. Ensure traceability from Gold metrics and business concepts back through Silver transformations to authoritative Bronze sources. Define clear rules for when a concept belongs in a domain model, the shared enterprise model, a semantic layer, or a product-specific analytical model. Review and guide physical implementations for performance, maintainability, cost, privacy, and scale. Enable data products and delivery teams Partner with Product Managers and domain leaders to turn business outcomes and use cases into clear data-modeling requirements. Partner with Data Engineers to define schemas, transformations, mappings, data contracts, and implementation patterns. Partner with BI developers to create governed semantic models, reusable measures, and self-service-ready datasets. Facilitate architecture and design reviews; identify duplication, inconsistent definitions, broken lineage, and integration risk early. Provide model patterns, templates, and coaching that enable teams to deliver independently while following enterprise standards. Govern for trust, security, and global scale Embed data quality, lineage, ownership, retention, security classification, privacy-by-design, and access-control requirements into data-model designs. Model regional, regulatory, language, currency, and local-business variations without fragmenting global reporting or shared concepts. Define stewardship and decision rights for enterprise entities, metrics, and reference data. Maintain model documentation and metadata in the organization's data catalog and modeling tools. Measure adoption, reuse, quality, coverage, and exceptions to drive continual improvement of the North Star model. What success looks like Teams use the same definitions for shared business concepts and key metrics. New data products can be delivered faster because common models, dimensions, identifiers, and patterns are reusable. Cross-domain reporting is reliable, explainable, and traceable to authoritative sources. Data consumers can discover what data exists, what it means, who owns it, and whether it is fit for use. Regional expansion is supported through intentional extensions rather than isolated local models. Gold-layer analytics and AI experiences use certified semantic definitions rather than reconstructing logic independently. Qualifications Required qualifications 7+ years of experience in data modeling, data architecture, data engineering, analytics engineering, or related disciplines. Demonstrated experience designing conceptual, logical, and physical models for complex, multi-domain data platforms. Experience defining or evolving an enterprise data model, canonical model, semantic layer, ontology, or common data model. Strong understanding of dimensional modeling, normalized modeling, data vault or equivalent integration patterns, and lakehouse/warehouse design. Experience designing models for raw, standardized, and consumption-ready data layers in a modern cloud data platform. Proven ability to translate business concepts into unambiguous data definitions, models, mappings, and implementation guidance. Practical expertise in metadata, lineage, data quality, data governance, master/reference data, and data privacy. Strong facilitation and communication skills; able to influence senior stakeholders and delivery teams without relying on direct authority. Preferred qualifications Experience with Databricks, Delta Lake, Unity Catalog, Snowflake, or comparable cloud data platforms. Experience with a data catalog, modeling tool, and metadata-management platform. Experience supporting global products and multi-region data, regulatory, or data-residency requirements. Experience designing semantic models and governed metrics for BI, natural-language data experiences, or AI applications. Experience in a regulated, high-scale, or operationally sensitive environment. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
10/26/2026
Full time
Job Description Job Description Company Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description We are seeking a Senior Data Modeler to define, evolve, and govern our enterprise-wide North Star Data Model. This role will make data consistent, interoperable, discoverable, and reusable across business domains, products, analytics, and AI use cases. The Senior Data Modeler will work with Product, domain experts, Data Engineering, Analytics, Architecture, Governance, and Security to translate business concepts into a shared enterprise data language and practical models that teams can implement across the Bronze, Silver, and Gold layers of our data platform. This is not a role focused only on designing tables for individual projects. It owns the connective tissue between domain models: the common entities, identifiers, relationships, definitions, metadata, and standards that allow trusted data products to work together across the enterprise. What you will do Establish the enterprise North Star Data Model Define and maintain enterprise conceptual, logical, and physical data models across core business domains. Establish canonical business entities, shared dimensions, reference data, identifiers, relationships, and lifecycle states. Create a pragmatic model that supports domain autonomy while enabling cross-domain analysis and data sharing. Maintain an enterprise ontology, business glossary, and semantic definitions so that important terms and metrics mean the same thing across products and teams. Design for reuse, extensibility, regional variation, and future use cases while avoiding unnecessary centralization. Model the Bronze, Silver, and Gold data layers Define modeling principles and required artifacts for each layer: Bronze: Preserve source fidelity, source lineage, ingestion metadata, auditability, and raw-data contracts. Silver: Standardize and validate data; apply common identifiers, canonical entities, conformed dimensions, data-quality rules, and cross-domain integration patterns. Gold: Deliver governed, business-ready data products, semantic models, certified metrics, and analytics-ready structures for dashboards, self-service analysis, and AI. Ensure traceability from Gold metrics and business concepts back through Silver transformations to authoritative Bronze sources. Define clear rules for when a concept belongs in a domain model, the shared enterprise model, a semantic layer, or a product-specific analytical model. Review and guide physical implementations for performance, maintainability, cost, privacy, and scale. Enable data products and delivery teams Partner with Product Managers and domain leaders to turn business outcomes and use cases into clear data-modeling requirements. Partner with Data Engineers to define schemas, transformations, mappings, data contracts, and implementation patterns. Partner with BI developers to create governed semantic models, reusable measures, and self-service-ready datasets. Facilitate architecture and design reviews; identify duplication, inconsistent definitions, broken lineage, and integration risk early. Provide model patterns, templates, and coaching that enable teams to deliver independently while following enterprise standards. Govern for trust, security, and global scale Embed data quality, lineage, ownership, retention, security classification, privacy-by-design, and access-control requirements into data-model designs. Model regional, regulatory, language, currency, and local-business variations without fragmenting global reporting or shared concepts. Define stewardship and decision rights for enterprise entities, metrics, and reference data. Maintain model documentation and metadata in the organization's data catalog and modeling tools. Measure adoption, reuse, quality, coverage, and exceptions to drive continual improvement of the North Star model. What success looks like Teams use the same definitions for shared business concepts and key metrics. New data products can be delivered faster because common models, dimensions, identifiers, and patterns are reusable. Cross-domain reporting is reliable, explainable, and traceable to authoritative sources. Data consumers can discover what data exists, what it means, who owns it, and whether it is fit for use. Regional expansion is supported through intentional extensions rather than isolated local models. Gold-layer analytics and AI experiences use certified semantic definitions rather than reconstructing logic independently. Qualifications Required qualifications 7+ years of experience in data modeling, data architecture, data engineering, analytics engineering, or related disciplines. Demonstrated experience designing conceptual, logical, and physical models for complex, multi-domain data platforms. Experience defining or evolving an enterprise data model, canonical model, semantic layer, ontology, or common data model. Strong understanding of dimensional modeling, normalized modeling, data vault or equivalent integration patterns, and lakehouse/warehouse design. Experience designing models for raw, standardized, and consumption-ready data layers in a modern cloud data platform. Proven ability to translate business concepts into unambiguous data definitions, models, mappings, and implementation guidance. Practical expertise in metadata, lineage, data quality, data governance, master/reference data, and data privacy. Strong facilitation and communication skills; able to influence senior stakeholders and delivery teams without relying on direct authority. Preferred qualifications Experience with Databricks, Delta Lake, Unity Catalog, Snowflake, or comparable cloud data platforms. Experience with a data catalog, modeling tool, and metadata-management platform. Experience supporting global products and multi-region data, regulatory, or data-residency requirements. Experience designing semantic models and governed metrics for BI, natural-language data experiences, or AI applications. Experience in a regulated, high-scale, or operationally sensitive environment. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
