Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details
11/14/2026
Full time
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details
Job Description Enterprise Data Architect Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Job Title : Enterprise Data Architect Job type : Fulltime Location : Deerfield, IL. Role Purpose : Lead the design and implementation of enterprise data architecture, with a strong focus on building a Databricks Semantic Layer. The role will establish reusable, governed business entities, metrics, dimensions, and measures to enable consistent reporting, trusted analytics, self-service data consumption, and AI-enabled use cases. Key Responsibilities : • Lead the end-to-end design and buildout of a Databricks Semantic Layer, translating business requirements into reusable semantic models, business entities, metrics, dimensions, and measures. • Define semantic models on top of the Databricks Lakehouse, ensuring consistent business definitions across reporting, analytics, and AI use cases. • Design conceptual, logical, and physical data models and establish relationships across enterprise data domains. • Leverage Databricks SQL, Unity Catalog, Delta Lake, and related capabilities to implement scalable, secure, and performant data solutions. • Establish standards for metadata management, business glossary, data lineage, access controls, and semantic governance. • Partner with business stakeholders, data engineering, BI, and AI teams to translate business concepts into reusable and trusted semantic assets. • Enable semantic-layer consumption through BI platforms such as Power BI and Tableau, as well as GenAI and natural-language querying solutions. • Define architecture patterns and integration approaches that support enterprise data products and cross-domain analytics. • Lead architecture reviews, technical design decisions, performance optimization, and adherence to enterprise standards. • Provide technical leadership, mentor engineering teams, and guide implementation through deployment and adoption. Mandatory Skills & Experience • Demonstrable, hands-on experience designing and building a Databricks Semantic Layer. This is a non-negotiable requirement. • Strong expertise in Databricks SQL, Unity Catalog, Delta Lake and Lakehouse architecture. • Practical experience creating semantic models, business metrics, dimensions, measures, relationships and reusable business definitions. • Strong understanding of enterprise data modeling, data integration and modern cloud data architectures. • Experience implementing metadata management, data governance, data lineage and role-based access controls. • Experience integrating semantic models with BI and analytics platforms. • Ability to engage business stakeholders and convert business terminology and KPI definitions into governed technical models. Preferred Skills & Experience • Exposure to knowledge graphs, ontology design and enterprise metadata frameworks. • Experience enabling semantic models for GenAI, LLM, natural-language querying or Agentic AI applications. • Exposure to AWS, Azure or GCP and experience in Pharma, MedTech, Healthcare or other complex enterprise environments. • Experience leading enterprise scale data architecture or transformation programs. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
11/14/2026
Full time
Job Description Enterprise Data Architect Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Job Title : Enterprise Data Architect Job type : Fulltime Location : Deerfield, IL. Role Purpose : Lead the design and implementation of enterprise data architecture, with a strong focus on building a Databricks Semantic Layer. The role will establish reusable, governed business entities, metrics, dimensions, and measures to enable consistent reporting, trusted analytics, self-service data consumption, and AI-enabled use cases. Key Responsibilities : • Lead the end-to-end design and buildout of a Databricks Semantic Layer, translating business requirements into reusable semantic models, business entities, metrics, dimensions, and measures. • Define semantic models on top of the Databricks Lakehouse, ensuring consistent business definitions across reporting, analytics, and AI use cases. • Design conceptual, logical, and physical data models and establish relationships across enterprise data domains. • Leverage Databricks SQL, Unity Catalog, Delta Lake, and related capabilities to implement scalable, secure, and performant data solutions. • Establish standards for metadata management, business glossary, data lineage, access controls, and semantic governance. • Partner with business stakeholders, data engineering, BI, and AI teams to translate business concepts into reusable and trusted semantic assets. • Enable semantic-layer consumption through BI platforms such as Power BI and Tableau, as well as GenAI and natural-language querying solutions. • Define architecture patterns and integration approaches that support enterprise data products and cross-domain analytics. • Lead architecture reviews, technical design decisions, performance optimization, and adherence to enterprise standards. • Provide technical leadership, mentor engineering teams, and guide implementation through deployment and adoption. Mandatory Skills & Experience • Demonstrable, hands-on experience designing and building a Databricks Semantic Layer. This is a non-negotiable requirement. • Strong expertise in Databricks SQL, Unity Catalog, Delta Lake and Lakehouse architecture. • Practical experience creating semantic models, business metrics, dimensions, measures, relationships and reusable business definitions. • Strong understanding of enterprise data modeling, data integration and modern cloud data architectures. • Experience implementing metadata management, data governance, data lineage and role-based access controls. • Experience integrating semantic models with BI and analytics platforms. • Ability to engage business stakeholders and convert business terminology and KPI definitions into governed technical models. Preferred Skills & Experience • Exposure to knowledge graphs, ontology design and enterprise metadata frameworks. • Experience enabling semantic models for GenAI, LLM, natural-language querying or Agentic AI applications. • Exposure to AWS, Azure or GCP and experience in Pharma, MedTech, Healthcare or other complex enterprise environments. • Experience leading enterprise scale data architecture or transformation programs. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Pay Range: $45.00hr - $50.00hr Job Overview: We are seeking a highly skilled Senior Data Analyst / Business Data Consultant to partner with our Data Team. This role is pivotal in bridging business strategy with technical execution - converting complex business needs into scalable, data-driven solutions. The successful candidate will lead detailed data analysis efforts, uncover business-critical insights, and identify data use cases that drive measurable impact across the organization. This project supports the company's data modernization and analytics roadmap, enabling unified reporting, trusted master data, and scalable analytics across global business units. Key Responsibilities: Perform in-depth analysis of enterprise data to uncover trends, patterns, and correlations. Identify actionable insights and data-driven opportunities that inform decision-making and strategic initiatives. Collaborate with stakeholders to identify and define data use cases across functional domains, ensuring alignment with business priorities and future-state data strategy. Engage with stakeholders to translate business requirements into clear technical specifications, analytical models, and actionable deliverables. Analyze current-state data and infrastructure versus future-state goals; identify data and process gaps; define mitigation strategies. Perform deep dives into structured and semi-structured datasets to assess completeness, consistency, and accuracy; work with SMEs to understand data availability and source gaps. Design and validate data pipelines and transformations; document lineage and dependencies. Use Python and SQL to extract, clean, and engineer data features for analytics and modeling. Apply basic AI/ML and LLM-based tools (e.g., prompt-based data exploration, AI-assisted feature engineering, or generative AI copilots) to accelerate data analysis, documentation, and insight generation. Build and maintain insightful dashboards and reports to communicate findings effectively. Maintain business glossary, data dictionary, and metadata aligned with governance standards. Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements. Maintain the data dictionary and business glossary for assigned domains, capturing and documenting definitions aligned with business leadership and global teams. Partner closely with data engineers, product managers, and business SMEs to align solutions with business objectives. Required Skills & Qualifications: 8 12 years of experience in data analytics, business analysis, or data management. Advanced SQL expertise with ability to query and optimize large, complex datasets. Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy). Experience with building dashboard using AI or similar visualization frameworks for data storytelling and dashboards. Deep understanding of data architecture, governance, MDM, and data lineage. Proven track record in identifying and scoping new data use cases and converting insights into business recommendations. Strong analytical thinking, stakeholder management, and communication skills. Basic working knowledge of AI/ML concepts and exposure to AI-assisted tools (e.g., Copilot-style coding assistants, LLM-based chat/analytics tools, or prompt engineering for data tasks) - no deep ML modeling expertise required. Experience with Snowflake, Databricks, or Hadoop/Spark environments. Exposure to data catalog or governance tools (Collibra, Alation). Familiarity with D&B data hierarchy, enrichment, or similar reference data systems. Environment & Tooling Stack: SQL (PostgreSQL, Snowflake, Redshift). Python (Pandas, NumPy, feature engineering). AI for visualization. Git / Bitbucket for version control. JIRA / Confluence for project tracking and documentation. 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.
11/14/2026
Full time
Pay Range: $45.00hr - $50.00hr Job Overview: We are seeking a highly skilled Senior Data Analyst / Business Data Consultant to partner with our Data Team. This role is pivotal in bridging business strategy with technical execution - converting complex business needs into scalable, data-driven solutions. The successful candidate will lead detailed data analysis efforts, uncover business-critical insights, and identify data use cases that drive measurable impact across the organization. This project supports the company's data modernization and analytics roadmap, enabling unified reporting, trusted master data, and scalable analytics across global business units. Key Responsibilities: Perform in-depth analysis of enterprise data to uncover trends, patterns, and correlations. Identify actionable insights and data-driven opportunities that inform decision-making and strategic initiatives. Collaborate with stakeholders to identify and define data use cases across functional domains, ensuring alignment with business priorities and future-state data strategy. Engage with stakeholders to translate business requirements into clear technical specifications, analytical models, and actionable deliverables. Analyze current-state data and infrastructure versus future-state goals; identify data and process gaps; define mitigation strategies. Perform deep dives into structured and semi-structured datasets to assess completeness, consistency, and accuracy; work with SMEs to understand data availability and source gaps. Design and validate data pipelines and transformations; document lineage and dependencies. Use Python and SQL to extract, clean, and engineer data features for analytics and modeling. Apply basic AI/ML and LLM-based tools (e.g., prompt-based data exploration, AI-assisted feature engineering, or generative AI copilots) to accelerate data analysis, documentation, and insight generation. Build and maintain insightful dashboards and reports to communicate findings effectively. Maintain business glossary, data dictionary, and metadata aligned with governance standards. Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements. Maintain the data dictionary and business glossary for assigned domains, capturing and documenting definitions aligned with business leadership and global teams. Partner closely with data engineers, product managers, and business SMEs to align solutions with business objectives. Required Skills & Qualifications: 8 12 years of experience in data analytics, business analysis, or data management. Advanced SQL expertise with ability to query and optimize large, complex datasets. Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy). Experience with building dashboard using AI or similar visualization frameworks for data storytelling and dashboards. Deep understanding of data architecture, governance, MDM, and data lineage. Proven track record in identifying and scoping new data use cases and converting insights into business recommendations. Strong analytical thinking, stakeholder management, and communication skills. Basic working knowledge of AI/ML concepts and exposure to AI-assisted tools (e.g., Copilot-style coding assistants, LLM-based chat/analytics tools, or prompt engineering for data tasks) - no deep ML modeling expertise required. Experience with Snowflake, Databricks, or Hadoop/Spark environments. Exposure to data catalog or governance tools (Collibra, Alation). Familiarity with D&B data hierarchy, enrichment, or similar reference data systems. Environment & Tooling Stack: SQL (PostgreSQL, Snowflake, Redshift). Python (Pandas, NumPy, feature engineering). AI for visualization. Git / Bitbucket for version control. JIRA / Confluence for project tracking and documentation. 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.
Pay Range: $60.00hr - $65.00hr Job Overview: The candidate should possess 5+ years of hands-on experience in data modeling, data architecture, or database design roles. Responsibilities and Requirements: Demonstrate expert proficiency with Erwin Data Modeler (version 9.x or higher preferred), including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality. Utilize advanced SQL skills and a deep understanding of Oracle (11g/12c/19c/21c), including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design. Build both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics. Demonstrate strong command of DDL, including creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. Apply solid understanding of data modeling theory, including entity-relationship modeling, normalization/denormalization, cardinality, keys, and referential integrity. Apply a solid grasp of database internals, including indexing strategies, partitioning, clustering, and query execution plans. Utilize data modeling best practices, including normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD). Produce and maintain data dictionaries, metadata, and data lineage documentation. Demonstrate familiarity with version control (e.g., Git) and model comparison/diff tools. Demonstrate excellent communication skills with the ability to clearly explain modeling decisions to both technical and non-technical audiences. Demonstrate self-motivation with an ability to multitask. Work effectively in a team environment. Preferred Qualifications: Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements. Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation). Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios. Working knowledge of ETL/ELT tools and data integration patterns. Experience supporting master data management (MDM) or data governance initiatives. Experience working with Microsoft SQL Server. Experience working with PostgreSQL. Data vault experience. Experience with Hadoop/MongoDB. 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.
11/14/2026
Full time
Pay Range: $60.00hr - $65.00hr Job Overview: The candidate should possess 5+ years of hands-on experience in data modeling, data architecture, or database design roles. Responsibilities and Requirements: Demonstrate expert proficiency with Erwin Data Modeler (version 9.x or higher preferred), including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality. Utilize advanced SQL skills and a deep understanding of Oracle (11g/12c/19c/21c), including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design. Build both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics. Demonstrate strong command of DDL, including creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. Apply solid understanding of data modeling theory, including entity-relationship modeling, normalization/denormalization, cardinality, keys, and referential integrity. Apply a solid grasp of database internals, including indexing strategies, partitioning, clustering, and query execution plans. Utilize data modeling best practices, including normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD). Produce and maintain data dictionaries, metadata, and data lineage documentation. Demonstrate familiarity with version control (e.g., Git) and model comparison/diff tools. Demonstrate excellent communication skills with the ability to clearly explain modeling decisions to both technical and non-technical audiences. Demonstrate self-motivation with an ability to multitask. Work effectively in a team environment. Preferred Qualifications: Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements. Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation). Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios. Working knowledge of ETL/ELT tools and data integration patterns. Experience supporting master data management (MDM) or data governance initiatives. Experience working with Microsoft SQL Server. Experience working with PostgreSQL. Data vault experience. Experience with Hadoop/MongoDB. 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.
Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). 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.
11/14/2026
Full time
Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). 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.
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As a member of the Global Sales AI & Innovation team, you'll be at the forefront of transforming how American Airlines drives revenue through artificial intelligence and advanced data technologies. Embedded within Sales Operations, this role focuses on building both the foundation and the solutions-designing and developing AI powered agents, establishing the business context and governance that enable them, and delivering intelligent analytics that directly enhance the performance of American's corporate and agency sales programs. You'll have the opportunity to innovate, experiment with emerging platforms, and help shape the future of sales intelligence at the world's largest airline. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Responsibilities include the following: 2 Design, build, and deploy AI agents and models on Databricks and Microsoft Copilot/Fabric, leveraging tools such as Genie Spaces, Agent Bricks, and LLM-based workflows to automate and enhance intelligence for Global Sales. Develop and maintain AI governance frameworks - including model documentation, performance monitoring, lineage tracking, and compliance standards - to ensure responsible and auditable use of AI across sales programs. Build and optimize data pipelines supporting AI/ML workloads within a medallion architecture on Azure Databricks (Delta Lake, Unity Catalog), with integration into Microsoft Fabric and OneLake for downstream consumption. Innovate on emerging Databricks and Microsoft Fabric capabilities as they are released, rapidly evaluating and prototyping features that can strengthen the team's technical foundation and revenue impact. Collaborate with business stakeholders in Global Sales to understand operational challenges and translate them into AI-driven solutions, communicating findings and recommendations clearly to both technical and non-technical audiences. Create AI-powered reporting and analytical models within Genie Spaces, Databricks Apps, and Power BI Direct Lake semantic models that empower sales leaders to understand program performance, identify opportunities, and act with confidence. Champion continuous improvement by staying current with advancements in generative AI, agentic frameworks, and large language model tooling, bringing a mindset of experimentation and responsible innovation to the team. Support the full AI development lifecycle - from ideation and prototyping through production deployment and ongoing monitoring - in close partnership with data engineering and Sales IT teams. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Data Science, Information Systems, Engineering, or similar degree; or equivalent experience/training 3 year in similar role Preferred Qualifications- Education & Prior Job Experience MIS, MBA/MS with a focus on data science, AI, or business technology 5 years of development experience, preferably in an airline or travel industry function 3+ years of experience with Databricks, including Delta Lake, Unity Catalog, or MLflow Experience building or operationalizing AI agents or LLM-based applications Experience with Microsoft Fabric, Copilot Studio, and Power BI Skills, Licenses & Certifications Databricks: Delta Lake, Unity Catalog, Databricks Workflows, Genie Spaces, Apps Cloud & Data Platforms: Azure, Microsoft Fabric, OneLake AI/ML: Python (PySpark, pandas), agentic frameworks, MLflow, model governance and monitoring practices Analytics & Reporting: Microsoft Power BI (Direct Lake, DAX, TMDL), SQL Soft Skills: Strong written and verbal communication; ability to translate complex AI concepts for business audiences; comfort operating in a fast-paced, high-ambiguity environment Certifications (a plus): Databricks Certified Associate or Professional; Microsoft Azure or Fabric certification What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/14/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As a member of the Global Sales AI & Innovation team, you'll be at the forefront of transforming how American Airlines drives revenue through artificial intelligence and advanced data technologies. Embedded within Sales Operations, this role focuses on building both the foundation and the solutions-designing and developing AI powered agents, establishing the business context and governance that enable them, and delivering intelligent analytics that directly enhance the performance of American's corporate and agency sales programs. You'll have the opportunity to innovate, experiment with emerging platforms, and help shape the future of sales intelligence at the world's largest airline. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Responsibilities include the following: 2 Design, build, and deploy AI agents and models on Databricks and Microsoft Copilot/Fabric, leveraging tools such as Genie Spaces, Agent Bricks, and LLM-based workflows to automate and enhance intelligence for Global Sales. Develop and maintain AI governance frameworks - including model documentation, performance monitoring, lineage tracking, and compliance standards - to ensure responsible and auditable use of AI across sales programs. Build and optimize data pipelines supporting AI/ML workloads within a medallion architecture on Azure Databricks (Delta Lake, Unity Catalog), with integration into Microsoft Fabric and OneLake for downstream consumption. Innovate on emerging Databricks and Microsoft Fabric capabilities as they are released, rapidly evaluating and prototyping features that can strengthen the team's technical foundation and revenue impact. Collaborate with business stakeholders in Global Sales to understand operational challenges and translate them into AI-driven solutions, communicating findings and recommendations clearly to both technical and non-technical audiences. Create AI-powered reporting and analytical models within Genie Spaces, Databricks Apps, and Power BI Direct Lake semantic models that empower sales leaders to understand program performance, identify opportunities, and act with confidence. Champion continuous improvement by staying current with advancements in generative AI, agentic frameworks, and large language model tooling, bringing a mindset of experimentation and responsible innovation to the team. Support the full AI development lifecycle - from ideation and prototyping through production deployment and ongoing monitoring - in close partnership with data engineering and Sales IT teams. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Data Science, Information Systems, Engineering, or similar degree; or equivalent experience/training 3 year in similar role Preferred Qualifications- Education & Prior Job Experience MIS, MBA/MS with a focus on data science, AI, or business technology 5 years of development experience, preferably in an airline or travel industry function 3+ years of experience with Databricks, including Delta Lake, Unity Catalog, or MLflow Experience building or operationalizing AI agents or LLM-based applications Experience with Microsoft Fabric, Copilot Studio, and Power BI Skills, Licenses & Certifications Databricks: Delta Lake, Unity Catalog, Databricks Workflows, Genie Spaces, Apps Cloud & Data Platforms: Azure, Microsoft Fabric, OneLake AI/ML: Python (PySpark, pandas), agentic frameworks, MLflow, model governance and monitoring practices Analytics & Reporting: Microsoft Power BI (Direct Lake, DAX, TMDL), SQL Soft Skills: Strong written and verbal communication; ability to translate complex AI concepts for business audiences; comfort operating in a fast-paced, high-ambiguity environment Certifications (a plus): Databricks Certified Associate or Professional; Microsoft Azure or Fabric certification What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
11/14/2026
Full time
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Description Title: Business System Analyst - Commercial Insurance HYBRID - Richmond VA Only W2 - No Corp to Corp Open to Sponsorship We are looking for a Data BSA with strong hands-on SQL and data analysis skills who can bridge business requirements and technical data solutions. The candidate should be able to understand complex data, translate requirements into detailed mappings and technical specifications, and leverage Generative AI tools to accelerate analysis, documentation, and prototyping. Key Responsibilities Gather and translate business requirements into data and technical requirements. Use SQL to analyze source data, understand data relationships, validate business rules, and troubleshoot data issues. Develop source-to-target mapping documents, transformation rules, and data specifications. Work closely with Data Engineers and Architects to clarify requirements and support implementation. Leverage GenAI/Copilot tools to: Convert requirements into SQL, pseudo-code, or semi-code prototypes. Generate and enhance source-to-target mappings. Analyze existing SQL and transformation logic. Accelerate technical documentation and requirements analysis. Validate AI-generated outputs against actual data and business requirements. Required Skills Strong hands-on SQL and data analysis skills. Strong understanding of data models, ETL/ELT, data integration, and data warehousing. Experience creating source-to-target mappings and transformation specifications. Ability to translate business requirements into implementation-ready technical artifacts. Hands-on experience using GenAI tools for SQL/code generation, documentation, mapping, or prototyping. Strong communication and analytical/problem-solving skills. Insurance domain experience, preferably with Policy, Claims, Billing, Underwriting, or insurance reporting/data. Good to have but not required Experience with SQL Server, Databricks, Azure and/or Power BI
11/14/2026
Full time
Job Description Title: Business System Analyst - Commercial Insurance HYBRID - Richmond VA Only W2 - No Corp to Corp Open to Sponsorship We are looking for a Data BSA with strong hands-on SQL and data analysis skills who can bridge business requirements and technical data solutions. The candidate should be able to understand complex data, translate requirements into detailed mappings and technical specifications, and leverage Generative AI tools to accelerate analysis, documentation, and prototyping. Key Responsibilities Gather and translate business requirements into data and technical requirements. Use SQL to analyze source data, understand data relationships, validate business rules, and troubleshoot data issues. Develop source-to-target mapping documents, transformation rules, and data specifications. Work closely with Data Engineers and Architects to clarify requirements and support implementation. Leverage GenAI/Copilot tools to: Convert requirements into SQL, pseudo-code, or semi-code prototypes. Generate and enhance source-to-target mappings. Analyze existing SQL and transformation logic. Accelerate technical documentation and requirements analysis. Validate AI-generated outputs against actual data and business requirements. Required Skills Strong hands-on SQL and data analysis skills. Strong understanding of data models, ETL/ELT, data integration, and data warehousing. Experience creating source-to-target mappings and transformation specifications. Ability to translate business requirements into implementation-ready technical artifacts. Hands-on experience using GenAI tools for SQL/code generation, documentation, mapping, or prototyping. Strong communication and analytical/problem-solving skills. Insurance domain experience, preferably with Policy, Claims, Billing, Underwriting, or insurance reporting/data. Good to have but not required Experience with SQL Server, Databricks, Azure and/or Power BI
Job Description Lead the Azure Data Engineering team and provide day-to-day technical direction, delivery oversight, and issue resolution. Design, develop, orchestrate, and maintain scalable ADF pipelines for batch ingestion, data integration, transformation, and downstream processing. Develop complex and reusable data-transformation frameworks using PySpark and Azure Databricks notebooks. Design metadata-driven ingestion, transformation, validation, reconciliation, logging, and restart/recovery components. Build and maintain solutions across ADLS Gen2, Azure Databricks, SQL databases, storage accounts, Azure Key Vault, and upstream/downstream enterprise systems. Migrate RDBMS and traditional ETL workloads to modern Data Lake, ELT, and cloud-native processing patterns. Optimize PySpark workloads for partitioning, caching, shuffle reduction, file sizing, scalability, and efficient processing of large datasets. Implement data-quality rules, control totals, exception handling, auditability, monitoring, alerting, and operational support mechanisms. Support data lake and SQL Server control/governance frameworks, including standards, templates, naming conventions, and directory structures. Analyze defects, incidents, change requests, and enhancement needs; perform root-cause analysis and implement sustainable fixes. Convert functional and business requirements into technical designs, estimates, implementation plans, and deployment activities. Perform code reviews and enforce engineering standards, security practices, source-control discipline, CI/CD, and documentation quality. Coordinate with onsite architects, business analysts, QA teams, application teams, production support teams, and customer stakeholders. Own offshore deliverables, dependencies, risks, status reporting, release readiness, and post-production stabilization. Mentor team members, build technical capability, and ensure high-quality, timely completion of deliverables. Insurance / Reinsurance Domain Expectations:
11/14/2026
Full time
Job Description Lead the Azure Data Engineering team and provide day-to-day technical direction, delivery oversight, and issue resolution. Design, develop, orchestrate, and maintain scalable ADF pipelines for batch ingestion, data integration, transformation, and downstream processing. Develop complex and reusable data-transformation frameworks using PySpark and Azure Databricks notebooks. Design metadata-driven ingestion, transformation, validation, reconciliation, logging, and restart/recovery components. Build and maintain solutions across ADLS Gen2, Azure Databricks, SQL databases, storage accounts, Azure Key Vault, and upstream/downstream enterprise systems. Migrate RDBMS and traditional ETL workloads to modern Data Lake, ELT, and cloud-native processing patterns. Optimize PySpark workloads for partitioning, caching, shuffle reduction, file sizing, scalability, and efficient processing of large datasets. Implement data-quality rules, control totals, exception handling, auditability, monitoring, alerting, and operational support mechanisms. Support data lake and SQL Server control/governance frameworks, including standards, templates, naming conventions, and directory structures. Analyze defects, incidents, change requests, and enhancement needs; perform root-cause analysis and implement sustainable fixes. Convert functional and business requirements into technical designs, estimates, implementation plans, and deployment activities. Perform code reviews and enforce engineering standards, security practices, source-control discipline, CI/CD, and documentation quality. Coordinate with onsite architects, business analysts, QA teams, application teams, production support teams, and customer stakeholders. Own offshore deliverables, dependencies, risks, status reporting, release readiness, and post-production stabilization. Mentor team members, build technical capability, and ensure high-quality, timely completion of deliverables. Insurance / Reinsurance Domain Expectations:
Job Description Position Summary Vantage is seeking a strategic and hands-on Analytics Manager to lead and grow its enterprise analytics capability. This individual will oversee the development of advanced data solutions and reporting frameworks that enable stakeholders across the business to make data-driven decisions. This role is both a builder and a leader-responsible for aligning analytics strategies to business goals while managing a small team of high-performing data professionals. The successful candidate will bring strong experience in enterprise data environments (e.g., Power BI, Azure, Snowflake, Databricks), a solid understanding of data modeling and architecture, and the leadership skills to guide a growing analytics function. This is a highly visible role with direct impact on organizational performance, technology evolution, and strategic insight delivery. Essential Duties And Responsibilities Lead the execution of a scalable and forward-looking analytics strategy in alignment with enterprise goals and IT architecture. Manage and mentor a team of two Data Engineers and one Data/Business Analyst, fostering collaboration, skill development, and performance. Collaborate directly with business stakeholders to translate their needs into actionable data solutions, analytics dashboards, and decision-support tools. Oversee and enhance the data pipeline lifecycle-ingestion, transformation, storage, and visualization-ensuring high data quality and performance. Architect and maintain robust data models that support scalable self-service analytics and advanced reporting across the organization. Design and enforce data governance and standardization practices in partnership with the IT architecture team. Serve as a subject matter expert in analytics technologies including Power BI, Snowflake, Azure Data Factory, and Databricks. Champion the use of data to drive innovation, efficiency, and business value across departments. Proactively research, evaluate, and implement emerging analytics tools and practices to strengthen platform capabilities. Support strategic projects and act as the analytics lead on cross-functional initiatives. Education & Experience Bachelor's or Master's degree in Analytics, Computer Science, Information Systems, or related field. 5-10 years of experience in analytics, data engineering, or business intelligence roles, with 2+ years in a leadership capacity. Knowledge, Skills, & Talents Demonstrated expertise in SQL and Python for data analysis and transformation. Strong grasp of data modeling, warehouse architecture, and business intelligence tools. Proven ability to manage teams, projects, and timelines in a cross-functional environment. Ability to balance changing and potentially conflicting priorities & working with uncertainty. Strong communication skills for making presentations, developing and maintaining relationships with ability to communicate complex issues in a crisp, clear and concise way is ideal. Knowledge of data quality frameworks and data governance best practices. Previous experience with ELT/ETL pipeline design and implementation in cloud-based environments. Exposure to agile delivery methodologies and collaborative project management tools. Experience aligning analytics with business goals, including performance metrics, reporting standards, and operational KPIs. Ability to identify problems, formulate solutions, influence others, and drive results are important skills for this role. Pay And Benefits The estimated base pay range for this position is: $120,000 - $180,000 annually. Actual pay will be determined based on education, certifications, experience, qualifications, skills and geographic location. This position is eligible to participate in a short-term incentive program. Vantage offers a comprehensive benefits package to eligible employees, including: Medical, HSA, dental, vision FSA (limited purpose, dependent care, and commuter/parking) Life and AD&D insurance Accident, hospital indemnity and critical illness insurance Short- and long-term disability EAP, identity theft protection Paid time off, Parental Leave 401(k) with company match Equal Employment Opportunity Vantage is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected category. About Vantage Vantage provides natural solutions to our customers' technical performance and marketing needs through a unique combination of chemistry, application expertise and service. Underpinned by our broad portfolio of formulations, ingredients and actives that are built on a backbone of sustainable oils, fats and their derivatives, Vantage targets selected markets and applications including personal care, food, surface treatment, agriculture, pharma, and consumer and industrial performance. Vantage is headquartered in Deerfield, IL., operates in 11 countries worldwide and employs more than 1,000 talented professionals focused on delivering exceptional customer experiences with every interaction. We are a dynamic people-centered organization where you'll be part of a collaborative global team. Embracing our cultural diversity, we learn from each other to constantly improve, adapt and iterate. We value the voices and talents of our colleagues, empowering them to drive their unique ideas to completion. We're convinced that exceptionally motivated employees produce outstanding results and we celebrate them by fostering a culture of recognition, development, learning, excellence and shared achievement. Most importantly, we know you're going to like it here. For more information visit: or LinkedIn/vantage.
11/14/2026
Full time
Job Description Position Summary Vantage is seeking a strategic and hands-on Analytics Manager to lead and grow its enterprise analytics capability. This individual will oversee the development of advanced data solutions and reporting frameworks that enable stakeholders across the business to make data-driven decisions. This role is both a builder and a leader-responsible for aligning analytics strategies to business goals while managing a small team of high-performing data professionals. The successful candidate will bring strong experience in enterprise data environments (e.g., Power BI, Azure, Snowflake, Databricks), a solid understanding of data modeling and architecture, and the leadership skills to guide a growing analytics function. This is a highly visible role with direct impact on organizational performance, technology evolution, and strategic insight delivery. Essential Duties And Responsibilities Lead the execution of a scalable and forward-looking analytics strategy in alignment with enterprise goals and IT architecture. Manage and mentor a team of two Data Engineers and one Data/Business Analyst, fostering collaboration, skill development, and performance. Collaborate directly with business stakeholders to translate their needs into actionable data solutions, analytics dashboards, and decision-support tools. Oversee and enhance the data pipeline lifecycle-ingestion, transformation, storage, and visualization-ensuring high data quality and performance. Architect and maintain robust data models that support scalable self-service analytics and advanced reporting across the organization. Design and enforce data governance and standardization practices in partnership with the IT architecture team. Serve as a subject matter expert in analytics technologies including Power BI, Snowflake, Azure Data Factory, and Databricks. Champion the use of data to drive innovation, efficiency, and business value across departments. Proactively research, evaluate, and implement emerging analytics tools and practices to strengthen platform capabilities. Support strategic projects and act as the analytics lead on cross-functional initiatives. Education & Experience Bachelor's or Master's degree in Analytics, Computer Science, Information Systems, or related field. 5-10 years of experience in analytics, data engineering, or business intelligence roles, with 2+ years in a leadership capacity. Knowledge, Skills, & Talents Demonstrated expertise in SQL and Python for data analysis and transformation. Strong grasp of data modeling, warehouse architecture, and business intelligence tools. Proven ability to manage teams, projects, and timelines in a cross-functional environment. Ability to balance changing and potentially conflicting priorities & working with uncertainty. Strong communication skills for making presentations, developing and maintaining relationships with ability to communicate complex issues in a crisp, clear and concise way is ideal. Knowledge of data quality frameworks and data governance best practices. Previous experience with ELT/ETL pipeline design and implementation in cloud-based environments. Exposure to agile delivery methodologies and collaborative project management tools. Experience aligning analytics with business goals, including performance metrics, reporting standards, and operational KPIs. Ability to identify problems, formulate solutions, influence others, and drive results are important skills for this role. Pay And Benefits The estimated base pay range for this position is: $120,000 - $180,000 annually. Actual pay will be determined based on education, certifications, experience, qualifications, skills and geographic location. This position is eligible to participate in a short-term incentive program. Vantage offers a comprehensive benefits package to eligible employees, including: Medical, HSA, dental, vision FSA (limited purpose, dependent care, and commuter/parking) Life and AD&D insurance Accident, hospital indemnity and critical illness insurance Short- and long-term disability EAP, identity theft protection Paid time off, Parental Leave 401(k) with company match Equal Employment Opportunity Vantage is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected category. About Vantage Vantage provides natural solutions to our customers' technical performance and marketing needs through a unique combination of chemistry, application expertise and service. Underpinned by our broad portfolio of formulations, ingredients and actives that are built on a backbone of sustainable oils, fats and their derivatives, Vantage targets selected markets and applications including personal care, food, surface treatment, agriculture, pharma, and consumer and industrial performance. Vantage is headquartered in Deerfield, IL., operates in 11 countries worldwide and employs more than 1,000 talented professionals focused on delivering exceptional customer experiences with every interaction. We are a dynamic people-centered organization where you'll be part of a collaborative global team. Embracing our cultural diversity, we learn from each other to constantly improve, adapt and iterate. We value the voices and talents of our colleagues, empowering them to drive their unique ideas to completion. We're convinced that exceptionally motivated employees produce outstanding results and we celebrate them by fostering a culture of recognition, development, learning, excellence and shared achievement. Most importantly, we know you're going to like it here. For more information visit: or LinkedIn/vantage.
Job Description Hybrid: Ideally 5 days onsite, ok with 3-4 days (will discuss during interview) Location: Jersey City, NJ CANDIDATES LOCALS TO NJ/NY AREA USC & GC ONLY Must Haves: -Azure -Databricks -Apache Spark -CI/CD Databricks / Azure Consultant - Job Summary Seeking two experienced Databricks / Azure Consultants to support the design, implementation, and ongoing development of the Databricks data platform. The consultants will work with technology and data teams to build and enhance scalable data solutions using Databricks and Microsoft Azure, with a strong focus on data engineering, integration, security, automation, and platform best practices. Ideal candidates will have strong hands-on experience across the Databricks ecosystem, including Databricks Workspace, Unity Catalog, Delta Lake, Spark, and MLflow, along with experience developing solutions in Microsoft Azure. Candidates should be comfortable working in a large enterprise environment and collaborating across application development, infrastructure, cloud, security, architecture, and data teams. Key Skills and Experience Databricks Ecosystem: Hands-on experience with Databricks Workspace, Unity Catalog, Delta Lake, Spark UI, and MLflow. Programming & Data Engineering: Strong development experience with Python, PySpark, SQL, and/or Java, including the development and optimization of data processing and ETL/ELT pipelines. Cloud Platforms: Strong Microsoft Azure experience, particularly Azure Databricks, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Data Factory. Experience with AWS, including S3 and IAM, is also desirable. Apache Spark: Experience developing, troubleshooting, and performance-tuning Spark-based workloads and data processing pipelines. DevOps & MLOps: Experience with Git, CI/CD pipelines, OpenShift, Kubernetes, and Terraform / Infrastructure as Code (IaC). Security & Governance: Experience implementing or supporting Databricks security, access controls, secrets management, identity integration, data governance, and Unity Catalog. Automation & Operations: Experience with Databricks workflows, job orchestration, monitoring, troubleshooting, performance optimization, and production support. Enterprise Delivery: Ability to collaborate across technical teams and operate within established enterprise architecture, security, change-management, and governance standards. Knowledge of Apache Airflow Preferred Experience Experience designing and delivering production-grade Databricks solutions in a large enterprise environment, particularly where security, data governance, resiliency, automation, and operational support are key requirements. Estimated Min Rate : $70.00 Estimated Max Rate : $85.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, 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. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description Hybrid: Ideally 5 days onsite, ok with 3-4 days (will discuss during interview) Location: Jersey City, NJ CANDIDATES LOCALS TO NJ/NY AREA USC & GC ONLY Must Haves: -Azure -Databricks -Apache Spark -CI/CD Databricks / Azure Consultant - Job Summary Seeking two experienced Databricks / Azure Consultants to support the design, implementation, and ongoing development of the Databricks data platform. The consultants will work with technology and data teams to build and enhance scalable data solutions using Databricks and Microsoft Azure, with a strong focus on data engineering, integration, security, automation, and platform best practices. Ideal candidates will have strong hands-on experience across the Databricks ecosystem, including Databricks Workspace, Unity Catalog, Delta Lake, Spark, and MLflow, along with experience developing solutions in Microsoft Azure. Candidates should be comfortable working in a large enterprise environment and collaborating across application development, infrastructure, cloud, security, architecture, and data teams. Key Skills and Experience Databricks Ecosystem: Hands-on experience with Databricks Workspace, Unity Catalog, Delta Lake, Spark UI, and MLflow. Programming & Data Engineering: Strong development experience with Python, PySpark, SQL, and/or Java, including the development and optimization of data processing and ETL/ELT pipelines. Cloud Platforms: Strong Microsoft Azure experience, particularly Azure Databricks, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Data Factory. Experience with AWS, including S3 and IAM, is also desirable. Apache Spark: Experience developing, troubleshooting, and performance-tuning Spark-based workloads and data processing pipelines. DevOps & MLOps: Experience with Git, CI/CD pipelines, OpenShift, Kubernetes, and Terraform / Infrastructure as Code (IaC). Security & Governance: Experience implementing or supporting Databricks security, access controls, secrets management, identity integration, data governance, and Unity Catalog. Automation & Operations: Experience with Databricks workflows, job orchestration, monitoring, troubleshooting, performance optimization, and production support. Enterprise Delivery: Ability to collaborate across technical teams and operate within established enterprise architecture, security, change-management, and governance standards. Knowledge of Apache Airflow Preferred Experience Experience designing and delivering production-grade Databricks solutions in a large enterprise environment, particularly where security, data governance, resiliency, automation, and operational support are key requirements. Estimated Min Rate : $70.00 Estimated Max Rate : $85.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, 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. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
Credit Acceptance Corporation
Bellevue, Washington
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Dealers and customers trust Credit Acceptance with their financial data. Regulators expect us to prove that trust is earned. As the Vice President, Engineering - Security, Compliance and Trust (CISO), you will own how Credit Acceptance stays secure and compliant as we move to the cloud and put AI agents to work across the business. You will set the security strategy, lead the team that delivers it, and report on it to executive leadership and the Board. You are the company's designated CISO for regulatory purposes. You report to the CTO and have direct access to the Audit Committee, including a private session at least once a year. You will lead a team across security operations, security engineering (application, cloud, identity and AI security) and governance, risk and compliance. You will work closely with Engineering, Legal, Risk and Fraud so the secure path is also the fast path. Agents are a new kind of actor in our environment. They have their own identities and make their own decisions. You will own the controls and evidence that let us adopt them quickly and keep the trust of our customers and regulators. Hybrid from Southfield, MI; Bellevue, WA; or the San Francisco Bay Area. Outcomes and Activities Own the enterprise information security strategy, tied to business goals, regulatory requirements and Engineering's AI and modernization plans. Own security for the move from on-premises data centers to AWS. Every workload lands in a secure, standard landing zone, and we modernize or retire legacy technology. Lead vulnerability and exposure operations. Critical findings are fixed in hours, with AI-assisted prioritization and a person accountable for every decision. Own identity and privileged access for people, services and agents. Own data protection and privacy: classification, handling standards and controls on where sensitive data can go. Review privacy engineering with product and engineering teams so privacy-by-design holds across the product lifecycle, including how AI systems use and keep data. Manage third-party and vendor cyber risk, from due diligence through ongoing monitoring, including security service providers, auditors and penetration testers. Any partner that builds or runs AI for us meets the same controls as our own teams. Lead threat detection and incident response, including playbooks for compromised or misbehaving agents and executive tabletop exercises. Defend against AI-enabled attacks such as deepfake impersonation and synthetic identity fraud, with our fraud and operations teams. Define how AI agents are secured, with Engineering's architecture and platform leaders. Each agent is a first-class identity with least-privilege access. Govern how agents call tools and data, including Model Context Protocol servers, and set policy for what an agent may decide and what stays with a person. Test AI systems and agents before release and continuously in production for prompt injection, tool misuse and data exfiltration. Every agent has an audit trail and can be suspended. Keep a living inventory of AI systems, agents and the AI features inside the tools we buy, including unsanctioned use. Set acceptable-use, data-handling and third-party AI standards aligned to NIST AI RMF and ISO/IEC 42001. Build security into how software is specified, generated, tested and deployed, including AI-assisted development. Automated gates replace manual reviews. Lead compliance with the obligations of a public consumer lender: GLBA, NYDFS Part 500, SOX IT general controls, PCI DSS, state privacy laws and SEC cybersecurity disclosure. That includes audit and examiner response, and systems that produce evidence automatically, down to a record an examiner can follow of what an agent saw and what it changed. Report to the Board: regular updates, the annual NYDFS Part 500 CISO report to the Board and the annual NYDFS certification, using a small set of metrics that drive decisions. Lead the Company's Information Security Compliance Committee, which meets at least quarterly with the Company's Executive Leadership Team. Build and develop the security team: hiring, developing people, building the skills to secure and use AI, and a security-aware culture across Engineering and the business. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree (computer science or a related field preferred). 10+ years in information security, compliance or a related field. 10+ years leading an information security, compliance or risk team. Regulatory compliance experience in financial services, such as GLBA, NYDFS Part 500, SOX and PCI DSS. Experience leading business continuity and cyber incident response, including executive tabletop exercises and response to a significant incident. Strong familiarity with NIST CSF, ISO 27001/27002 and SOC 2. Strong knowledge of security architecture for cloud-native environments: identity and access management, encryption, network and endpoint controls and vulnerability management. Experience building security into CI/CD and software delivery. Practical experience securing AI-enabled systems or AI-assisted development in production, including identity and access, data protection and testing. Experience reporting security and risk to executive leadership and a Board. Preferred Master's degree. Financial services, fintech or consumer lending experience. AWS and Databricks security at production scale, including securing a migration from on-premises infrastructure. Agentic AI in production: agent identity, governed tool access such as Model Context Protocol, runtime controls and agent-specific incident response. AI-assisted detection, triage and response in a security operations center, with human oversight. SEC cybersecurity disclosure experience as the security leader of a public company. Risk assessment for AI systems and third-party AI vendors. CISSP, CISM or an equivalent security certification. Knowledge and Skills Architecture: Ability to design security architecture that is built in by default and enforced through automation, not manual review. AI and Agent Security: Working knowledge of how agents are attacked and how they fail (prompt injection, tool misuse, identity and privilege abuse, memory poisoning) and the controls that contain them, drawing on the OWASP Top 10 for Agentic Applications, NIST AI RMF and ISO/IEC 42001. Risk Judgment: Ability to weigh security risk against business value, decide what an agent or a team may do on its own, and explain the tradeoff and the evidence plainly. Holds the higher bar and says so. Executive Communication: Ability to turn technical and AI risk into clear decisions for executives and the Board. Leadership and Influence: Ability to build a strong team, challenge the status quo, and earn trust across Engineering, Legal, Compliance, Risk and the business without relying on authority. Target Compensation: This position offers a competitive base salary, with a range of $300,000 - $400,000. This position is eligible for equity and annual cash bonuses. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at a local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role . click apply for full job details
11/13/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Dealers and customers trust Credit Acceptance with their financial data. Regulators expect us to prove that trust is earned. As the Vice President, Engineering - Security, Compliance and Trust (CISO), you will own how Credit Acceptance stays secure and compliant as we move to the cloud and put AI agents to work across the business. You will set the security strategy, lead the team that delivers it, and report on it to executive leadership and the Board. You are the company's designated CISO for regulatory purposes. You report to the CTO and have direct access to the Audit Committee, including a private session at least once a year. You will lead a team across security operations, security engineering (application, cloud, identity and AI security) and governance, risk and compliance. You will work closely with Engineering, Legal, Risk and Fraud so the secure path is also the fast path. Agents are a new kind of actor in our environment. They have their own identities and make their own decisions. You will own the controls and evidence that let us adopt them quickly and keep the trust of our customers and regulators. Hybrid from Southfield, MI; Bellevue, WA; or the San Francisco Bay Area. Outcomes and Activities Own the enterprise information security strategy, tied to business goals, regulatory requirements and Engineering's AI and modernization plans. Own security for the move from on-premises data centers to AWS. Every workload lands in a secure, standard landing zone, and we modernize or retire legacy technology. Lead vulnerability and exposure operations. Critical findings are fixed in hours, with AI-assisted prioritization and a person accountable for every decision. Own identity and privileged access for people, services and agents. Own data protection and privacy: classification, handling standards and controls on where sensitive data can go. Review privacy engineering with product and engineering teams so privacy-by-design holds across the product lifecycle, including how AI systems use and keep data. Manage third-party and vendor cyber risk, from due diligence through ongoing monitoring, including security service providers, auditors and penetration testers. Any partner that builds or runs AI for us meets the same controls as our own teams. Lead threat detection and incident response, including playbooks for compromised or misbehaving agents and executive tabletop exercises. Defend against AI-enabled attacks such as deepfake impersonation and synthetic identity fraud, with our fraud and operations teams. Define how AI agents are secured, with Engineering's architecture and platform leaders. Each agent is a first-class identity with least-privilege access. Govern how agents call tools and data, including Model Context Protocol servers, and set policy for what an agent may decide and what stays with a person. Test AI systems and agents before release and continuously in production for prompt injection, tool misuse and data exfiltration. Every agent has an audit trail and can be suspended. Keep a living inventory of AI systems, agents and the AI features inside the tools we buy, including unsanctioned use. Set acceptable-use, data-handling and third-party AI standards aligned to NIST AI RMF and ISO/IEC 42001. Build security into how software is specified, generated, tested and deployed, including AI-assisted development. Automated gates replace manual reviews. Lead compliance with the obligations of a public consumer lender: GLBA, NYDFS Part 500, SOX IT general controls, PCI DSS, state privacy laws and SEC cybersecurity disclosure. That includes audit and examiner response, and systems that produce evidence automatically, down to a record an examiner can follow of what an agent saw and what it changed. Report to the Board: regular updates, the annual NYDFS Part 500 CISO report to the Board and the annual NYDFS certification, using a small set of metrics that drive decisions. Lead the Company's Information Security Compliance Committee, which meets at least quarterly with the Company's Executive Leadership Team. Build and develop the security team: hiring, developing people, building the skills to secure and use AI, and a security-aware culture across Engineering and the business. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree (computer science or a related field preferred). 10+ years in information security, compliance or a related field. 10+ years leading an information security, compliance or risk team. Regulatory compliance experience in financial services, such as GLBA, NYDFS Part 500, SOX and PCI DSS. Experience leading business continuity and cyber incident response, including executive tabletop exercises and response to a significant incident. Strong familiarity with NIST CSF, ISO 27001/27002 and SOC 2. Strong knowledge of security architecture for cloud-native environments: identity and access management, encryption, network and endpoint controls and vulnerability management. Experience building security into CI/CD and software delivery. Practical experience securing AI-enabled systems or AI-assisted development in production, including identity and access, data protection and testing. Experience reporting security and risk to executive leadership and a Board. Preferred Master's degree. Financial services, fintech or consumer lending experience. AWS and Databricks security at production scale, including securing a migration from on-premises infrastructure. Agentic AI in production: agent identity, governed tool access such as Model Context Protocol, runtime controls and agent-specific incident response. AI-assisted detection, triage and response in a security operations center, with human oversight. SEC cybersecurity disclosure experience as the security leader of a public company. Risk assessment for AI systems and third-party AI vendors. CISSP, CISM or an equivalent security certification. Knowledge and Skills Architecture: Ability to design security architecture that is built in by default and enforced through automation, not manual review. AI and Agent Security: Working knowledge of how agents are attacked and how they fail (prompt injection, tool misuse, identity and privilege abuse, memory poisoning) and the controls that contain them, drawing on the OWASP Top 10 for Agentic Applications, NIST AI RMF and ISO/IEC 42001. Risk Judgment: Ability to weigh security risk against business value, decide what an agent or a team may do on its own, and explain the tradeoff and the evidence plainly. Holds the higher bar and says so. Executive Communication: Ability to turn technical and AI risk into clear decisions for executives and the Board. Leadership and Influence: Ability to build a strong team, challenge the status quo, and earn trust across Engineering, Legal, Compliance, Risk and the business without relying on authority. Target Compensation: This position offers a competitive base salary, with a range of $300,000 - $400,000. This position is eligible for equity and annual cash bonuses. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at a local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role . click apply for full job details
Job Description Job Description Job Title: Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT Work Mode : 5 Days Onsite Years Of Exp : 7+ Yrs Job Description: We are seeking a Senior Test Automation Engineer to join our team! You will be supporting enterprise clients in the design, development, and modernization of digital platforms and AI-enabled product capabilities. In this role, you will collaborate with architects, software engineers, product leaders, and business stakeholders to solve complex technical challenges and deliver scalable, high-quality solutions that drive innovation, efficiency, and business value. This is an exciting opportunity for an experienced automation engineer who thrives in fast-paced Agile environments, enjoys working across the software development lifecycle, and is eager to contribute to modern cloud-native applications, AI-powered solutions, Kubernetes-based deployments, and microservices architectures. You will partner directly with client stakeholders, contribute to strategic transformation initiatives, and help deliver mission-critical solutions that support enterprise-scale operations. Duties and Responsibilities • Design, develop, and maintain scalable test automation frameworks for enterprise applications • Collaborate closely with Product Management, business stakeholders, and development teams to understand requirements and define testing strategies • Create and execute functional, end-to-end (E2E), integration, and regression test cases • Drive a shift-left testing approach by integrating automation early in the software development lifecycle • Research, evaluate, and recommend new testing tools, technologies, and automation solutions • Participate actively in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, and retrospectives • Conduct code reviews, maintain automation documentation, and contribute to secure coding and testing best practices • Support continuous integration and continuous delivery (CI/CD) pipelines through automated quality validation • Stay current with emerging technologies, industry trends, and automation best practices to continuously improve testing capabilities Required Qualifications • 5+ years of experience in software test automation engineering • Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks • Experience testing applications deployed on public cloud platforms, including AWS, Azure, or Google Cloud Platform (GCP) • Strong understanding of ETL processes, relational databases, SQL query development, and data analysis • Proven experience designing, implementing, and maintaining enterprise-grade test automation frameworks • Experience planning, estimating, executing, and reporting automation testing activities • Hands-on experience with API testing and automation using REST and SOAP services • Experience working with CI/CD tools and automated deployment pipelines • Strong understanding of Agile and/or Waterfall software delivery methodologies • Proficiency with automation and testing tools such as Selenium, Playwright, Postman, Java, and/or Python • Experience using development and collaboration tools including Git, Bamboo, Artifactory, Jira, and Confluence • Experience testing applications within containerized environments such as Docker • Knowledge of continuous integration, continuous delivery, and continuous testing practices Must Have Skills • Cucumber • JavaScript • Kubernetes • Postman • Python • Selenium Ref: Pittsburgh
11/12/2026
Full time
Job Description Job Description Job Title: Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT Work Mode : 5 Days Onsite Years Of Exp : 7+ Yrs Job Description: We are seeking a Senior Test Automation Engineer to join our team! You will be supporting enterprise clients in the design, development, and modernization of digital platforms and AI-enabled product capabilities. In this role, you will collaborate with architects, software engineers, product leaders, and business stakeholders to solve complex technical challenges and deliver scalable, high-quality solutions that drive innovation, efficiency, and business value. This is an exciting opportunity for an experienced automation engineer who thrives in fast-paced Agile environments, enjoys working across the software development lifecycle, and is eager to contribute to modern cloud-native applications, AI-powered solutions, Kubernetes-based deployments, and microservices architectures. You will partner directly with client stakeholders, contribute to strategic transformation initiatives, and help deliver mission-critical solutions that support enterprise-scale operations. Duties and Responsibilities • Design, develop, and maintain scalable test automation frameworks for enterprise applications • Collaborate closely with Product Management, business stakeholders, and development teams to understand requirements and define testing strategies • Create and execute functional, end-to-end (E2E), integration, and regression test cases • Drive a shift-left testing approach by integrating automation early in the software development lifecycle • Research, evaluate, and recommend new testing tools, technologies, and automation solutions • Participate actively in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, and retrospectives • Conduct code reviews, maintain automation documentation, and contribute to secure coding and testing best practices • Support continuous integration and continuous delivery (CI/CD) pipelines through automated quality validation • Stay current with emerging technologies, industry trends, and automation best practices to continuously improve testing capabilities Required Qualifications • 5+ years of experience in software test automation engineering • Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks • Experience testing applications deployed on public cloud platforms, including AWS, Azure, or Google Cloud Platform (GCP) • Strong understanding of ETL processes, relational databases, SQL query development, and data analysis • Proven experience designing, implementing, and maintaining enterprise-grade test automation frameworks • Experience planning, estimating, executing, and reporting automation testing activities • Hands-on experience with API testing and automation using REST and SOAP services • Experience working with CI/CD tools and automated deployment pipelines • Strong understanding of Agile and/or Waterfall software delivery methodologies • Proficiency with automation and testing tools such as Selenium, Playwright, Postman, Java, and/or Python • Experience using development and collaboration tools including Git, Bamboo, Artifactory, Jira, and Confluence • Experience testing applications within containerized environments such as Docker • Knowledge of continuous integration, continuous delivery, and continuous testing practices Must Have Skills • Cucumber • JavaScript • Kubernetes • Postman • Python • Selenium Ref: Pittsburgh
Job Description Job Description About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world's leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review "The Tetra Way," authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. As a Scientific Data Architect supporting our partnership with a top 25 global biopharma manufacturing and quality organization, you will design the scientific data models and use cases that connect manufacturing processes, laboratory results, and product quality across manufacturing sites and external partners. Your work will support investigations, continued process verification (CPV), process improvement, technology transfer, and the application of AI to biologics manufacturing. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Candidates will be asked to review "The Tetra Way" as part of the interview process. Who You Are You combine deep experience in biologics manufacturing and quality control with the technical ability to design, prototype, and implement scientific data solutions. You understand how a manufacturing process generates data, how QC laboratories test for product quality, and how to preserve the relationships between those records. You are comfortable working directly with manufacturing scientists, Manufacturing Sciences and Technology (MSAT), manufacturing IT, QC, Quality Assurance, data engineers, and product teams. You translate their questions into explicit data requirements, reusable models, and applications they can use in daily work. You take ownership from initial site discovery through implementation and adoption. You write code, examine source data, test assumptions with scientific users, and demonstrate working solutions. You have the willingness and ability to travel up to 50% of working time between partner manufacturing sites for discovery, implementation, workshops, training, and adoption support. Requirements What You Have Done What you must bring A minimum of 3-5 years direct experience in biologic drug manufacturing and QC is required, including substantial experience with monoclonal antibodies or other recombinant therapeutic proteins. You have designed data models and delivered analytical or digital use cases using manufacturing and QC data for these modalities. Strong Python and SQL skills, with experience developing parsers, transformations, APIs, and analytical applications using tabular and JSON data. Ability to communicate architecture decisions and scientific findings to laboratory users, manufacturing teams, engineers, and business leaders. Desired: Manufacturing & Quality Relevant life sciences industry experience, with substantial work in biologics manufacturing, process development, MSAT, analytical development, or QC. Demonstrated understanding of upstream and downstream biologics operations, including cell culture, harvest, chromatography, filtration, and drug-substance production, and how process conditions relate to yield and quality. Experience defining and implementing manufacturing or QC use cases such as batch investigations, continued process verification (CPV), yield analysis, raw-material variability assessment, stability trending, or technology transfer. Experience delivering solutions in GxP environments, including traceability, data integrity, controlled changes, reproducible calculations, and collaboration with Quality and Validation teams. Desired: Data & Technology A proven record of designing conceptual, logical, and physical data models that connect products, batches, material lots, process steps, equipment, samples, analytical results, and quality events across systems. Experience integrating scientific and manufacturing data from systems such as LIMS, laboratory instruments, process historians, MES, ERP, ELN, and quality management systems. What You Will Do Together with the Scientific Business Analyst (SBA), lead onsite discovery with manufacturing, MSAT, QC, IT, and Quality teams. Map scientific workflows, inspect representative source data, identify gaps, and define prioritized use cases with measurable outcomes and acceptance criteria. Together with the platform knowledge engineering team (semantic management, data modeling, ontology), design reusable product, process, and QC data models for biologics manufacturing. Establish shared structures and controlled vocabularies while preserving product-, modality-, and site-specific requirements. Model batch and material genealogy, including splits, pools, intermediate lots, and links between drug substance and drug product. Connect process measurements and QC results to the correct batch, unit operation, sample, method version, and specification. Define mappings across sites and external manufacturing partners, reconciling identifiers, terminology, units, timestamps, and process hierarchies while retaining source provenance. Build use cases for investigation evidence assembly, CPV, cross-batch comparisons, process and yield analysis, and technology transfer. Translate scientific questions into data requirements, calculations, prototypes, and production-ready specifications. Develop Python parsers, data transformations, quality checks, and applications using Tetra OS. Collaborate with engineering teams to deliver reliable integrations and maintainable data products. Prepare contextualized datasets for statistical, mechanistic, and AI/ML models. Work with scientific users and applied AI engineers to assess data suitability, interpret outputs, and evaluate performance. Support verification and validation through documented requirements, source-to-target mappings, test evidence, and reproducible analyses, working within partner Quality processes. Demonstrate solutions regularly, incorporate user feedback, and train partner teams to maintain and extend delivered models and applications. Multi-site manufacturing data harmonization and external CMO/CDMO data integration. Process historian and time-series data, chromatography data, statistical process monitoring, and multivariate analysis. Databricks, cloud data platforms, and manufacturing information models such as ICH, ISA-88 and ISA-95. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position The salary range for this position is $140,000 - $240,000. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate's specific experience, localized market data, and internal team equity.
11/11/2026
Full time
Job Description Job Description About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world's leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review "The Tetra Way," authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. As a Scientific Data Architect supporting our partnership with a top 25 global biopharma manufacturing and quality organization, you will design the scientific data models and use cases that connect manufacturing processes, laboratory results, and product quality across manufacturing sites and external partners. Your work will support investigations, continued process verification (CPV), process improvement, technology transfer, and the application of AI to biologics manufacturing. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Candidates will be asked to review "The Tetra Way" as part of the interview process. Who You Are You combine deep experience in biologics manufacturing and quality control with the technical ability to design, prototype, and implement scientific data solutions. You understand how a manufacturing process generates data, how QC laboratories test for product quality, and how to preserve the relationships between those records. You are comfortable working directly with manufacturing scientists, Manufacturing Sciences and Technology (MSAT), manufacturing IT, QC, Quality Assurance, data engineers, and product teams. You translate their questions into explicit data requirements, reusable models, and applications they can use in daily work. You take ownership from initial site discovery through implementation and adoption. You write code, examine source data, test assumptions with scientific users, and demonstrate working solutions. You have the willingness and ability to travel up to 50% of working time between partner manufacturing sites for discovery, implementation, workshops, training, and adoption support. Requirements What You Have Done What you must bring A minimum of 3-5 years direct experience in biologic drug manufacturing and QC is required, including substantial experience with monoclonal antibodies or other recombinant therapeutic proteins. You have designed data models and delivered analytical or digital use cases using manufacturing and QC data for these modalities. Strong Python and SQL skills, with experience developing parsers, transformations, APIs, and analytical applications using tabular and JSON data. Ability to communicate architecture decisions and scientific findings to laboratory users, manufacturing teams, engineers, and business leaders. Desired: Manufacturing & Quality Relevant life sciences industry experience, with substantial work in biologics manufacturing, process development, MSAT, analytical development, or QC. Demonstrated understanding of upstream and downstream biologics operations, including cell culture, harvest, chromatography, filtration, and drug-substance production, and how process conditions relate to yield and quality. Experience defining and implementing manufacturing or QC use cases such as batch investigations, continued process verification (CPV), yield analysis, raw-material variability assessment, stability trending, or technology transfer. Experience delivering solutions in GxP environments, including traceability, data integrity, controlled changes, reproducible calculations, and collaboration with Quality and Validation teams. Desired: Data & Technology A proven record of designing conceptual, logical, and physical data models that connect products, batches, material lots, process steps, equipment, samples, analytical results, and quality events across systems. Experience integrating scientific and manufacturing data from systems such as LIMS, laboratory instruments, process historians, MES, ERP, ELN, and quality management systems. What You Will Do Together with the Scientific Business Analyst (SBA), lead onsite discovery with manufacturing, MSAT, QC, IT, and Quality teams. Map scientific workflows, inspect representative source data, identify gaps, and define prioritized use cases with measurable outcomes and acceptance criteria. Together with the platform knowledge engineering team (semantic management, data modeling, ontology), design reusable product, process, and QC data models for biologics manufacturing. Establish shared structures and controlled vocabularies while preserving product-, modality-, and site-specific requirements. Model batch and material genealogy, including splits, pools, intermediate lots, and links between drug substance and drug product. Connect process measurements and QC results to the correct batch, unit operation, sample, method version, and specification. Define mappings across sites and external manufacturing partners, reconciling identifiers, terminology, units, timestamps, and process hierarchies while retaining source provenance. Build use cases for investigation evidence assembly, CPV, cross-batch comparisons, process and yield analysis, and technology transfer. Translate scientific questions into data requirements, calculations, prototypes, and production-ready specifications. Develop Python parsers, data transformations, quality checks, and applications using Tetra OS. Collaborate with engineering teams to deliver reliable integrations and maintainable data products. Prepare contextualized datasets for statistical, mechanistic, and AI/ML models. Work with scientific users and applied AI engineers to assess data suitability, interpret outputs, and evaluate performance. Support verification and validation through documented requirements, source-to-target mappings, test evidence, and reproducible analyses, working within partner Quality processes. Demonstrate solutions regularly, incorporate user feedback, and train partner teams to maintain and extend delivered models and applications. Multi-site manufacturing data harmonization and external CMO/CDMO data integration. Process historian and time-series data, chromatography data, statistical process monitoring, and multivariate analysis. Databricks, cloud data platforms, and manufacturing information models such as ICH, ISA-88 and ISA-95. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position The salary range for this position is $140,000 - $240,000. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate's specific experience, localized market data, and internal team equity.
Develops and scales AI and analytics products in partnership with data scientists and business teams. Builds data models, pipelines, cloud-based applications and machine learning solutions using Python, SQL, Azure and/or GCP, while supporting DevOps practices, infrastructure reliability and reusable engineering tools. Responsibilities Evaluate models and technologies through proofs of concept and experiments. Develop tested, standards-compliant code and contribute to reusable libraries and open-source projects. Build data models, model features, data quality tests, and ETL/ELT pipelines. Design and deploy analytics and machine learning applications across cloud environments. Operate and troubleshoot AI infrastructure using cloud-native services and platform engineering practices. Promote Dev Ops best practices, improve architectures, and coach colleagues in AI engineering. Required Skills Python SQLData modeling ETL/ELT pipeline development Machine learning model deployment Azure cloud infrastructure Databricks Git Hub Actions and CI/CDTerraform Logging and monitoring technologies
11/11/2026
Full time
Develops and scales AI and analytics products in partnership with data scientists and business teams. Builds data models, pipelines, cloud-based applications and machine learning solutions using Python, SQL, Azure and/or GCP, while supporting DevOps practices, infrastructure reliability and reusable engineering tools. Responsibilities Evaluate models and technologies through proofs of concept and experiments. Develop tested, standards-compliant code and contribute to reusable libraries and open-source projects. Build data models, model features, data quality tests, and ETL/ELT pipelines. Design and deploy analytics and machine learning applications across cloud environments. Operate and troubleshoot AI infrastructure using cloud-native services and platform engineering practices. Promote Dev Ops best practices, improve architectures, and coach colleagues in AI engineering. Required Skills Python SQLData modeling ETL/ELT pipeline development Machine learning model deployment Azure cloud infrastructure Databricks Git Hub Actions and CI/CDTerraform Logging and monitoring technologies
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 Novartis has an exciting opportunity for a Director, Analytics Engineering. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. There are 2 positions available. About the Role Major accountabilities: Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation. Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases. Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers. Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking. Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads. Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data. Create self-service data access layers that empower data scientists and analysts to query and extract data independently. Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions. Essential Requirements Advanced degree in Computer Science, Data Engineering, or related field; 7+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure. 5+ years leading teams building enterprise-scale data platforms and feature stores. Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store). Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery). Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing. Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines. Understanding of data governance, privacy (HIPAA, GDPR), and compliance in life sciences. Preferred Qualities Proven track record of implementing AI/ML-powered automation in data engineering workflows. Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability). Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering. Experience in pharmaceutical, healthcare, or life sciences industry. Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture. Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 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. To learn more about the culture, rewards and benefits we offer our people click here . 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.
11/10/2026
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 Novartis has an exciting opportunity for a Director, Analytics Engineering. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. There are 2 positions available. About the Role Major accountabilities: Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation. Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases. Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers. Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking. Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads. Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data. Create self-service data access layers that empower data scientists and analysts to query and extract data independently. Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions. Essential Requirements Advanced degree in Computer Science, Data Engineering, or related field; 7+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure. 5+ years leading teams building enterprise-scale data platforms and feature stores. Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store). Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery). Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing. Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines. Understanding of data governance, privacy (HIPAA, GDPR), and compliance in life sciences. Preferred Qualities Proven track record of implementing AI/ML-powered automation in data engineering workflows. Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability). Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering. Experience in pharmaceutical, healthcare, or life sciences industry. Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture. Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 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. To learn more about the culture, rewards and benefits we offer our people click here . 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.
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries and dive into important, world-changing federal challenges. Position Summary Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing, building, and optimizing scalable cloud-based data solutions using AWS and Databricks. You'll develop robust data pipelines, implement modern data lakehouse architectures, and collaborate across engineering, data science, and stakeholder teams to deliver secure, high-performance data capabilities that advance federal missions. Responsibilities include, but are not limited to, the duties listed below: Databricks Engineering Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake. Data Lakehouse Architecture Design and implement modern lakehouse solutions using Databricks and AWS services. Apply medallion architecture (Bronze/Silver/Gold layers) to improve data quality, governance, lineage, performance, and accessibility. AWS Data Integration Build and maintain ETL/ELT pipelines integrating structured, semi-structured, and unstructured data across AWS services such as S3, Glue, RDS, Redshift, Lambda, and related cloud data platforms. Data Transformation & Optimization Develop efficient data transformation workflows using SQL, Python, and PySpark. Optimize Spark workloads, queries, clusters, and storage configurations for performance, reliability, and cost efficiency. Data Governance & Quality Implement data quality, cataloging, lineage, governance, and access-control practices across Databricks and AWS environments, including the use of Unity Catalog where applicable. Cloud Automation & DevOps Automate data platform deployments and workflows using Infrastructure as Code (IaC), CI/CD pipelines, Git-based development practices, and AWS-native deployment tools. Collaborative Engineering Work closely with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and technical requirements into production-ready data solutions. Technical Rigor & Documentation Develop clean, maintainable, and well-documented code while following engineering, security, and federal development standards. Support code reviews, testing, troubleshooting, and technical design documentation. Requirements U.S. citizenship with the ability to obtain and maintain a Secret clearance is required. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field. Hands-on experience in data engineering, cloud engineering, or related technical roles. Hands-on experience building and maintaining production data solutions using Databricks, Apache Spark, and PySpark. Strong experience with AWS data services such as S3, Glue, RDS, Redshift, Lambda, IAM, and CloudWatch. Strong understanding of ETL/ELT processes, data lake and lakehouse architectures, data modeling, and large-scale data processing. Hands-on experience with Delta Lake, SQL, Python, and Spark-based data processing. Experience developing, scheduling, monitoring, and troubleshooting production data pipelines and workflows. Experience with Git and CI/CD platforms such as GitLab, GitHub Actions, Jenkins, or AWS CodePipeline. Understanding of cloud security, identity and access management, encryption, and secure data-handling practices. Strong communication skills and a client-oriented mindset with the ability to collaborate across technical and non-technical teams. Preferred Active Secret clearance CompTIA Security+ (Sec+) certification Databricks certification(s) Experience implementing Databricks Lakehouse Architecture and medallion architecture using Bronze, Silver, and Gold data layers. Experience with Databricks Unity Catalog, Delta Live Tables, Databricks Workflows, or similar data orchestration and governance capabilities. Strong Python proficiency and experience with data engineering libraries and frameworks such as PySpark, Pandas, and Pydantic. Experience with Infrastructure as Code tools such as Terraform, OpenTofu, AWS CDK, or CloudFormation. AWS and/or Databricks certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect, or Databricks Certified Data Engineer credentials. Knowledge of federal cybersecurity, RMF, FedRAMP, or other government regulatory and compliance frameworks. Experience delivering cloud-native data solutions within federal government or other highly regulated environments. Salary Range: $155,000 - $185,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. 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) Short Term & Long Term Disability Training & Development Wellness Resources
11/07/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries and dive into important, world-changing federal challenges. Position Summary Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing, building, and optimizing scalable cloud-based data solutions using AWS and Databricks. You'll develop robust data pipelines, implement modern data lakehouse architectures, and collaborate across engineering, data science, and stakeholder teams to deliver secure, high-performance data capabilities that advance federal missions. Responsibilities include, but are not limited to, the duties listed below: Databricks Engineering Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake. Data Lakehouse Architecture Design and implement modern lakehouse solutions using Databricks and AWS services. Apply medallion architecture (Bronze/Silver/Gold layers) to improve data quality, governance, lineage, performance, and accessibility. AWS Data Integration Build and maintain ETL/ELT pipelines integrating structured, semi-structured, and unstructured data across AWS services such as S3, Glue, RDS, Redshift, Lambda, and related cloud data platforms. Data Transformation & Optimization Develop efficient data transformation workflows using SQL, Python, and PySpark. Optimize Spark workloads, queries, clusters, and storage configurations for performance, reliability, and cost efficiency. Data Governance & Quality Implement data quality, cataloging, lineage, governance, and access-control practices across Databricks and AWS environments, including the use of Unity Catalog where applicable. Cloud Automation & DevOps Automate data platform deployments and workflows using Infrastructure as Code (IaC), CI/CD pipelines, Git-based development practices, and AWS-native deployment tools. Collaborative Engineering Work closely with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and technical requirements into production-ready data solutions. Technical Rigor & Documentation Develop clean, maintainable, and well-documented code while following engineering, security, and federal development standards. Support code reviews, testing, troubleshooting, and technical design documentation. Requirements U.S. citizenship with the ability to obtain and maintain a Secret clearance is required. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field. Hands-on experience in data engineering, cloud engineering, or related technical roles. Hands-on experience building and maintaining production data solutions using Databricks, Apache Spark, and PySpark. Strong experience with AWS data services such as S3, Glue, RDS, Redshift, Lambda, IAM, and CloudWatch. Strong understanding of ETL/ELT processes, data lake and lakehouse architectures, data modeling, and large-scale data processing. Hands-on experience with Delta Lake, SQL, Python, and Spark-based data processing. Experience developing, scheduling, monitoring, and troubleshooting production data pipelines and workflows. Experience with Git and CI/CD platforms such as GitLab, GitHub Actions, Jenkins, or AWS CodePipeline. Understanding of cloud security, identity and access management, encryption, and secure data-handling practices. Strong communication skills and a client-oriented mindset with the ability to collaborate across technical and non-technical teams. Preferred Active Secret clearance CompTIA Security+ (Sec+) certification Databricks certification(s) Experience implementing Databricks Lakehouse Architecture and medallion architecture using Bronze, Silver, and Gold data layers. Experience with Databricks Unity Catalog, Delta Live Tables, Databricks Workflows, or similar data orchestration and governance capabilities. Strong Python proficiency and experience with data engineering libraries and frameworks such as PySpark, Pandas, and Pydantic. Experience with Infrastructure as Code tools such as Terraform, OpenTofu, AWS CDK, or CloudFormation. AWS and/or Databricks certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect, or Databricks Certified Data Engineer credentials. Knowledge of federal cybersecurity, RMF, FedRAMP, or other government regulatory and compliance frameworks. Experience delivering cloud-native data solutions within federal government or other highly regulated environments. Salary Range: $155,000 - $185,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. 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) Short Term & Long Term Disability Training & Development Wellness Resources
Job Description Requisition ID: 40433 Cheers to creating an incredible tomorrow! At Molson Coors, we tackle big challenges and defy the status quo. With a proud legacy of excellence, an incredible portfolio of beer, seltzers, spirits, and non-alcohol brands, and a bold vision for our future we're on the path to transforming the beverage industry. That requires remarkable individuals who are curious, tenacious, and never afraid to fail forward. We seek, value and respect everyone's unique perspectives and experiences knowing that we are stronger together. We collaborate as a team and celebrate each other's successes. Here's to crafting careers and creating new legacies. Crafted Highlights: In the role of Sr. Business Intelligence and Analytics Designer working in Milwaukee, WI you will be part of the global Data, Analytics and AI team. The person in this role will partner with business stakeholders to design, build and scale modern data and analytics products on cloud platforms, reporting on the progress of development efforts, and ensuring that those projects are carried out in accordance with standards and procedures. What You'll Be Brewing: Design, develop and deploy data products and analytics solutions to address business requirements, typically on the largest, most complex, or most strategic initiatives Serve as technical leader and subject matter expert in designated functional domains along with providing support to third-party providers Support production analytics platforms and data products through continuous improvement, root-cause analysis, performance optimization, and issue resolution Partner with business stakeholders to understand needs, build relationships and deliver high-value data, analytics and reporting solutions Support business report owners and data consumers through a transition from legacy tools to modern cloud platforms Key Ingredients: You have a bachelor's degree and a minimum of 5 years of experience in the data and analytics field or in lieu of a degree, 9 years of experience related to data and analytics You possess advanced knowledge of modern cloud data and analytics platforms including: Databricks, dbt, Airflow, Power BI, SQL, Git You have at least one full life-cycle system implementation, or three major full life-cycle system change initiatives, serving in a hands-on role involving data analytics solutions You have direct, hands-on experience designing and developing semantic models, metrics layers and data products that promote trusted self-service analytics You are familiar with dimensional data modeling concepts and techniques as well as Lakehouse architecture You have Familiarity with agile, CI/CD and/or DevOps ways of working You have previous experience estimating resource needs for any size project You are serious about results, and take pride in a proven track record in delivering You having previous experience working with SAP, Palantir Foundry or supply chain data is a plus Beverage Bonuses: Flexible work programs that support work life balance including a hybrid work model of 4 days in the office We care about our People and Planet and have challenged ourselves with stretch goals around our key priorities We care about our communities, and play our part to make a difference - from charitable donations to hitting the streets together to build parks, giving back to the community is part of our culture and who we are Engagement with a variety of Employee Resource Groups, which can provide volunteer opportunities, leadership experience, and networking through the organization Ability to grow and develop your career centered around our First Choice Learning opportunities Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental, vision, 401k option with incredible employer match, generous paid time off plans, an engaging Wellness Program, and an Employee Assistance Program (EAP) with amazing resources On site Pub, access to cool brand clothing and swag, top events and, of course free beer and beverages! Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences Molson Coors is an equal opportunity employer. We invite applications from candidates of all backgrounds, race, color, religion, sex, national origin, age, disability, veteran status or any other characteristic. If you have a disability and believe you need a reasonable accommodation during the application or recruitment processes, please e-mail . Pay and Benefits: At Molson Coors, we're committed to paying people fairly and equitably for the work they do. Job Posting Total Rewards Offerings: $109,100.00 -$143,200.00 (posting salary range) + 15% target short term incentive + $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP + paid time off (including holidays, vacation days and sick days). The posting range provided above for salary is what we, in good faith, believe we would pay for this role at the time of this posting. We ultimately pay based on a number of non-discriminatory factors that inform pay decisions including but not limited to the required work location, previous work experience, skill set and internal equity.
11/06/2026
Full time
Job Description Requisition ID: 40433 Cheers to creating an incredible tomorrow! At Molson Coors, we tackle big challenges and defy the status quo. With a proud legacy of excellence, an incredible portfolio of beer, seltzers, spirits, and non-alcohol brands, and a bold vision for our future we're on the path to transforming the beverage industry. That requires remarkable individuals who are curious, tenacious, and never afraid to fail forward. We seek, value and respect everyone's unique perspectives and experiences knowing that we are stronger together. We collaborate as a team and celebrate each other's successes. Here's to crafting careers and creating new legacies. Crafted Highlights: In the role of Sr. Business Intelligence and Analytics Designer working in Milwaukee, WI you will be part of the global Data, Analytics and AI team. The person in this role will partner with business stakeholders to design, build and scale modern data and analytics products on cloud platforms, reporting on the progress of development efforts, and ensuring that those projects are carried out in accordance with standards and procedures. What You'll Be Brewing: Design, develop and deploy data products and analytics solutions to address business requirements, typically on the largest, most complex, or most strategic initiatives Serve as technical leader and subject matter expert in designated functional domains along with providing support to third-party providers Support production analytics platforms and data products through continuous improvement, root-cause analysis, performance optimization, and issue resolution Partner with business stakeholders to understand needs, build relationships and deliver high-value data, analytics and reporting solutions Support business report owners and data consumers through a transition from legacy tools to modern cloud platforms Key Ingredients: You have a bachelor's degree and a minimum of 5 years of experience in the data and analytics field or in lieu of a degree, 9 years of experience related to data and analytics You possess advanced knowledge of modern cloud data and analytics platforms including: Databricks, dbt, Airflow, Power BI, SQL, Git You have at least one full life-cycle system implementation, or three major full life-cycle system change initiatives, serving in a hands-on role involving data analytics solutions You have direct, hands-on experience designing and developing semantic models, metrics layers and data products that promote trusted self-service analytics You are familiar with dimensional data modeling concepts and techniques as well as Lakehouse architecture You have Familiarity with agile, CI/CD and/or DevOps ways of working You have previous experience estimating resource needs for any size project You are serious about results, and take pride in a proven track record in delivering You having previous experience working with SAP, Palantir Foundry or supply chain data is a plus Beverage Bonuses: Flexible work programs that support work life balance including a hybrid work model of 4 days in the office We care about our People and Planet and have challenged ourselves with stretch goals around our key priorities We care about our communities, and play our part to make a difference - from charitable donations to hitting the streets together to build parks, giving back to the community is part of our culture and who we are Engagement with a variety of Employee Resource Groups, which can provide volunteer opportunities, leadership experience, and networking through the organization Ability to grow and develop your career centered around our First Choice Learning opportunities Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental, vision, 401k option with incredible employer match, generous paid time off plans, an engaging Wellness Program, and an Employee Assistance Program (EAP) with amazing resources On site Pub, access to cool brand clothing and swag, top events and, of course free beer and beverages! Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences Molson Coors is an equal opportunity employer. We invite applications from candidates of all backgrounds, race, color, religion, sex, national origin, age, disability, veteran status or any other characteristic. If you have a disability and believe you need a reasonable accommodation during the application or recruitment processes, please e-mail . Pay and Benefits: At Molson Coors, we're committed to paying people fairly and equitably for the work they do. Job Posting Total Rewards Offerings: $109,100.00 -$143,200.00 (posting salary range) + 15% target short term incentive + $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP + paid time off (including holidays, vacation days and sick days). The posting range provided above for salary is what we, in good faith, believe we would pay for this role at the time of this posting. We ultimately pay based on a number of non-discriminatory factors that inform pay decisions including but not limited to the required work location, previous work experience, skill set and internal equity.
Job Description Who we are Founded in 2022, Eastwall is a unique professional services firm in the Azure cloud space. We are a Cloud-focused Microsoft partner. Our vision is predicated on improving business outcomes through modern technology implementations and operating models built in the Microsoft Cloud. Learn how Eastwall helps our clients pave the way as leading organizations at . About the Job The Azure Solution Architect is a customer-facing mid-to-senior-level (depending on experience) technical presales & delivery role. This role will work directly with Executive Leadership & Channel Sales to design, architect, sell, and implement modern Azure solutions that accelerate customer business & industry outcomes. Upon selling an engagement, the Azure Solution Architect will transition the project into delivery, ensuring success project kickoff and execution of the customer vision. What You'll Do Directly engage with customers & Microsoft individually or as part of a technical sales team on presales scoping calls, proposal development, and written statements of work (SOWs). Oversee and advise on the implementation of the customer's Azure platform or on-premises systems, translating business and industry outcomes into technical solutions. Demonstrate technical leadership through personally implemented architectures, project methodologies, and Azure services with engineering after an engagement is sold. Act as a trusted advisor to customer technology & business leadership for thought leadership and solution approaches. Extract business requirements from customers and translate them into well-architected recommendations in line with Microsoft's Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF). Develop and provide forward-looking guidance and future state roadmaps. Leverage known best practices and solutions to reduce risk to customer implementations and standardize Eastwall's presales and delivery approach. Collaborate with Eastwall executive, sales, and delivery teams to ensure customer alignment to Eastwall, Microsoft, and Customer goals as part of our "Three legs of the stool" approach. Experience At least 5 years of experience in Microsoft Azure cloud solutions such as Azure SQL, Azure Data Factory, Synapse, Data Warehousing, or other comparable Azure data tools. Candidates without direct technical experience on Azure should not apply. At least 2 years of experience with presales responsibilities related to proposal development, solution architecture, statement of work authoring, and co-owning of technical sales pipeline with a direct sales team. Experience in a consultative role or engineering role working with multiple clients concurrently at any given time is required. Experience in developing dimensional & semantic data models, extract transform and load (ETL) patterns, and familiarity with Lakehouse design concepts. Understanding of high availability and disaster recovery principles, patterns and applications for data solutions. Experience with unified data analytics platforms such as Microsoft Fabric, Snowflake, or Databricks. Experience supporting production applications or workloads, being able to performance test and troubleshoot related issues. Experience in any cloud AI/ML services or development in notebooks (e.g., Python, R) is a plus. Experience in a consultative role or an engineering role working with more than one client environment at any given time. Excellent written and verbal communication skills, including technical writing & PowerPoint presentations. Expectations New hires in this role may be required to complete one or more of the below certifications within the first 3-to-6 months of hire (paid for in full by Eastwall): Exam DP-900: Microsoft Data Platform Fundamentals Exam DP-203: Data Engineering on Microsoft Azure Exam DP-600: Microsoft Fabric Engineering Associate This is a client-facing, heavily technical management consulting role that involves day-to-day client interaction in presales and delivery, with up to 50% billable utilization. This role will travel within the continental United States up to 20%, at times monthly. The base salary range for this role is $145,000-$175,000. This will be an individual contributor role and will be remote. No relocation is necessary or provided. Benefits Competitive salary with bonus potential Comprehensive medical, dental, vision and life insurance through United Healthcare. 401k, FSA and LSA offerings Three (3) weeks of paid time off annually, not including eight (8) paid company holidays. Annual training budget. Fully remote work environment, with local co-working options. Eastwall is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. CANDIDATES MUST BE BASED IN THE CONTINENTAL UNITED STATES AND LEGALLY AUTHORIZED TO WORK. THIS POSITION IS FULL TIME AND NOT OPEN TO CONTRACTORS. DIRECT HIRE ONLY - NO AGENCIES.
10/07/2026
Full time
Job Description Who we are Founded in 2022, Eastwall is a unique professional services firm in the Azure cloud space. We are a Cloud-focused Microsoft partner. Our vision is predicated on improving business outcomes through modern technology implementations and operating models built in the Microsoft Cloud. Learn how Eastwall helps our clients pave the way as leading organizations at . About the Job The Azure Solution Architect is a customer-facing mid-to-senior-level (depending on experience) technical presales & delivery role. This role will work directly with Executive Leadership & Channel Sales to design, architect, sell, and implement modern Azure solutions that accelerate customer business & industry outcomes. Upon selling an engagement, the Azure Solution Architect will transition the project into delivery, ensuring success project kickoff and execution of the customer vision. What You'll Do Directly engage with customers & Microsoft individually or as part of a technical sales team on presales scoping calls, proposal development, and written statements of work (SOWs). Oversee and advise on the implementation of the customer's Azure platform or on-premises systems, translating business and industry outcomes into technical solutions. Demonstrate technical leadership through personally implemented architectures, project methodologies, and Azure services with engineering after an engagement is sold. Act as a trusted advisor to customer technology & business leadership for thought leadership and solution approaches. Extract business requirements from customers and translate them into well-architected recommendations in line with Microsoft's Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF). Develop and provide forward-looking guidance and future state roadmaps. Leverage known best practices and solutions to reduce risk to customer implementations and standardize Eastwall's presales and delivery approach. Collaborate with Eastwall executive, sales, and delivery teams to ensure customer alignment to Eastwall, Microsoft, and Customer goals as part of our "Three legs of the stool" approach. Experience At least 5 years of experience in Microsoft Azure cloud solutions such as Azure SQL, Azure Data Factory, Synapse, Data Warehousing, or other comparable Azure data tools. Candidates without direct technical experience on Azure should not apply. At least 2 years of experience with presales responsibilities related to proposal development, solution architecture, statement of work authoring, and co-owning of technical sales pipeline with a direct sales team. Experience in a consultative role or engineering role working with multiple clients concurrently at any given time is required. Experience in developing dimensional & semantic data models, extract transform and load (ETL) patterns, and familiarity with Lakehouse design concepts. Understanding of high availability and disaster recovery principles, patterns and applications for data solutions. Experience with unified data analytics platforms such as Microsoft Fabric, Snowflake, or Databricks. Experience supporting production applications or workloads, being able to performance test and troubleshoot related issues. Experience in any cloud AI/ML services or development in notebooks (e.g., Python, R) is a plus. Experience in a consultative role or an engineering role working with more than one client environment at any given time. Excellent written and verbal communication skills, including technical writing & PowerPoint presentations. Expectations New hires in this role may be required to complete one or more of the below certifications within the first 3-to-6 months of hire (paid for in full by Eastwall): Exam DP-900: Microsoft Data Platform Fundamentals Exam DP-203: Data Engineering on Microsoft Azure Exam DP-600: Microsoft Fabric Engineering Associate This is a client-facing, heavily technical management consulting role that involves day-to-day client interaction in presales and delivery, with up to 50% billable utilization. This role will travel within the continental United States up to 20%, at times monthly. The base salary range for this role is $145,000-$175,000. This will be an individual contributor role and will be remote. No relocation is necessary or provided. Benefits Competitive salary with bonus potential Comprehensive medical, dental, vision and life insurance through United Healthcare. 401k, FSA and LSA offerings Three (3) weeks of paid time off annually, not including eight (8) paid company holidays. Annual training budget. Fully remote work environment, with local co-working options. Eastwall is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. CANDIDATES MUST BE BASED IN THE CONTINENTAL UNITED STATES AND LEGALLY AUTHORIZED TO WORK. THIS POSITION IS FULL TIME AND NOT OPEN TO CONTRACTORS. DIRECT HIRE ONLY - NO AGENCIES.
Job Description Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal. Note: This Position Is Not Eligible for Immigration Sponsorship at This Time. Domain Delivery Lead Role Overview We are seeking an experienced Azure Architect with strong Healthcare domain expertise and deep knowledge of Data Engineering, Azure cloud technologies, and Data Quality (DQ) frameworks. The ideal candidate will lead the design and implementation of scalable, secure, and compliant healthcare data platforms on Microsoft Azure. This role requires strong expertise in Azure Data Engineering, Databricks, SQL, stakeholder management, and healthcare data ecosystems including regulatory and compliance considerations. The candidate will work closely with business stakeholders, healthcare SMEs, analytics teams, architects, and engineering teams to drive enterprise-scale cloud data transformation initiatives. Key Responsibilities Azure Data Architecture Design enterprise-scale healthcare data platforms on Microsoft Azure. Architect scalable, secure, and high-performing cloud-native data solutions. Define end-to-end architecture for ingestion, transformation, storage, governance, and analytics. Lead modernization and migration of legacy healthcare data systems to Azure. Ensure architecture aligns with healthcare compliance and governance standards. Data Engineering & Databricks Design and implement large-scale ETL/ELT pipelines. Build batch and real-time data processing solutions using Azure Databricks. Develop scalable data ingestion frameworks for structured and unstructured healthcare data. Optimize performance and scalability of Azure data platforms. Implement Lakehouse/Data Lake architectures using Azure services. Data Quality & Governance Define and implement enterprise Data Quality (DQ) frameworks. Establish DQ controls for completeness, consistency, accuracy, timeliness, and reconciliation. Build automated validation and monitoring mechanisms. Enable data lineage, metadata management, and governance practices. Collaborate with governance teams to improve data reliability and trust. Healthcare Domain Responsibilities Work with healthcare stakeholders to understand clinical, operational, and analytical data requirements. Support healthcare data integration initiatives involving EMR/EHR systems, claims, patient, provider, and operational data. Ensure compliance with healthcare regulations and data privacy standards. Support healthcare analytics, reporting, and interoperability initiatives. Stakeholder Management Collaborate with business leaders, product owners, architects, and engineering teams. Translate business requirements into scalable technical solutions. Lead client discussions, architecture reviews, and technical workshops. Provide technical leadership and mentoring to engineering teams. Manage communication with cross-functional stakeholders and leadership. Required Skills & Experience Core Technical Skills Azure Technologies Strong hands-on expertise in: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database Azure Functions Azure DevOps Azure Monitor Microsoft Purview / Azure Purview Data Engineering Strong expertise in SQL and Python/PySpark. Experience building enterprise-grade ETL/ELT pipelines. Strong understanding of data modeling and distributed data processing. Experience with Delta Lake and Lakehouse architectures. Knowledge of batch and streaming data processing. Data Quality Experience implementing enterprise Data Quality frameworks. Strong understanding of data validation, reconciliation, profiling, and monitoring. Experience with DQ tools/frameworks such as Great Expectations, Deequ, Informatica DQ, or custom frameworks. Understanding of data governance and observability. Healthcare Domain Strong experience in Healthcare domain projects. Knowledge of healthcare data models and workflows. Understanding of EMR/EHR, claims, patient, provider, and clinical data. Familiarity with healthcare compliance and data privacy standards. Experience supporting healthcare analytics and reporting platforms. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Healthcare Informatics, or related field. 10+ years of IT experience with strong focus on Data Engineering and Cloud Architecture. 5+ years of hands-on Azure Data Platform experience. Strong experience in Healthcare domain implementations. Experience leading enterprise-scale cloud transformation initiatives. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Professional Healthcare or Data Governance certifications preferred Preferred Experience Experience working with healthcare providers, payers, or life sciences organizations. Exposure to AI/ML healthcare data platforms. Experience with cloud governance and security frameworks. Familiarity with Agile/Scrum methodologies. Client-facing consulting experience. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 - $170,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal 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.
10/07/2026
Full time
Job Description Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal. Note: This Position Is Not Eligible for Immigration Sponsorship at This Time. Domain Delivery Lead Role Overview We are seeking an experienced Azure Architect with strong Healthcare domain expertise and deep knowledge of Data Engineering, Azure cloud technologies, and Data Quality (DQ) frameworks. The ideal candidate will lead the design and implementation of scalable, secure, and compliant healthcare data platforms on Microsoft Azure. This role requires strong expertise in Azure Data Engineering, Databricks, SQL, stakeholder management, and healthcare data ecosystems including regulatory and compliance considerations. The candidate will work closely with business stakeholders, healthcare SMEs, analytics teams, architects, and engineering teams to drive enterprise-scale cloud data transformation initiatives. Key Responsibilities Azure Data Architecture Design enterprise-scale healthcare data platforms on Microsoft Azure. Architect scalable, secure, and high-performing cloud-native data solutions. Define end-to-end architecture for ingestion, transformation, storage, governance, and analytics. Lead modernization and migration of legacy healthcare data systems to Azure. Ensure architecture aligns with healthcare compliance and governance standards. Data Engineering & Databricks Design and implement large-scale ETL/ELT pipelines. Build batch and real-time data processing solutions using Azure Databricks. Develop scalable data ingestion frameworks for structured and unstructured healthcare data. Optimize performance and scalability of Azure data platforms. Implement Lakehouse/Data Lake architectures using Azure services. Data Quality & Governance Define and implement enterprise Data Quality (DQ) frameworks. Establish DQ controls for completeness, consistency, accuracy, timeliness, and reconciliation. Build automated validation and monitoring mechanisms. Enable data lineage, metadata management, and governance practices. Collaborate with governance teams to improve data reliability and trust. Healthcare Domain Responsibilities Work with healthcare stakeholders to understand clinical, operational, and analytical data requirements. Support healthcare data integration initiatives involving EMR/EHR systems, claims, patient, provider, and operational data. Ensure compliance with healthcare regulations and data privacy standards. Support healthcare analytics, reporting, and interoperability initiatives. Stakeholder Management Collaborate with business leaders, product owners, architects, and engineering teams. Translate business requirements into scalable technical solutions. Lead client discussions, architecture reviews, and technical workshops. Provide technical leadership and mentoring to engineering teams. Manage communication with cross-functional stakeholders and leadership. Required Skills & Experience Core Technical Skills Azure Technologies Strong hands-on expertise in: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database Azure Functions Azure DevOps Azure Monitor Microsoft Purview / Azure Purview Data Engineering Strong expertise in SQL and Python/PySpark. Experience building enterprise-grade ETL/ELT pipelines. Strong understanding of data modeling and distributed data processing. Experience with Delta Lake and Lakehouse architectures. Knowledge of batch and streaming data processing. Data Quality Experience implementing enterprise Data Quality frameworks. Strong understanding of data validation, reconciliation, profiling, and monitoring. Experience with DQ tools/frameworks such as Great Expectations, Deequ, Informatica DQ, or custom frameworks. Understanding of data governance and observability. Healthcare Domain Strong experience in Healthcare domain projects. Knowledge of healthcare data models and workflows. Understanding of EMR/EHR, claims, patient, provider, and clinical data. Familiarity with healthcare compliance and data privacy standards. Experience supporting healthcare analytics and reporting platforms. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Healthcare Informatics, or related field. 10+ years of IT experience with strong focus on Data Engineering and Cloud Architecture. 5+ years of hands-on Azure Data Platform experience. Strong experience in Healthcare domain implementations. Experience leading enterprise-scale cloud transformation initiatives. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Professional Healthcare or Data Governance certifications preferred Preferred Experience Experience working with healthcare providers, payers, or life sciences organizations. Exposure to AI/ML healthcare data platforms. Experience with cloud governance and security frameworks. Familiarity with Agile/Scrum methodologies. Client-facing consulting experience. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 - $170,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal 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.
