{"schemaVersion":"jobsearcher.job.v1","id":"fa2f35b392bca6a88f46fbb0","url":"https://jobsearcher.com/jobs/fa2f35b392bca6a88f46fbb0","canonicalUrl":"https://jobsearcher.com/jobs/fa2f35b392bca6a88f46fbb0","title":"Data engineering program manager","description":"Mounds View, Minnesota 55112 Posted August 25th, 2026\nJob Type: Full Time\nJob Category: IT\nJob Description\n\nJob Title: Data engineering program manager\n\nLocation: Mounds View, MN\n\nFull Time\n\nJob Description\n\nMust Have Technical/Functional Skills\n\nSnowflake: Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.\n\nDatabricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.\n\nCloud Platforms: AWS preferred; Azure and GCP exposure beneficial.\n\nData Engineering Technologies: Python, SQL, DBT, Airflow, ETL/ELT frameworks, API integration.\n\nData Management: Data Modeling, Data Governance, Master Data Management, Data Quality.\n\nCertifications & Domain Knowledge\n\nPMP, PgMP, SAFe Program Consultant, or SAFe Agilist certification.\n\nSnowflake certification and/or Databricks certification.\n\nAWS/Azure Solution Architect certification.\n\nExperience leading AI/GenAI-enabled data programs.\n\nExperience with healthcare compliance requirements such as HIPAA, GxP, and FDA-regulated environments.\n\nRoles & Responsibilities\n\n Program Leadership\n\nLead end-to-end delivery of enterprise data engineering and analytics programs.\n\nDefine program roadmap, milestones, dependencies, risks, and governance structures.\n\nManage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML initiatives.\n\nDrive executive-level status reporting and steering committee governance.\n\nData Platform Strategy\n\nPartner with business and IT leaders to define enterprise data strategies leveraging Snowflake and Databricks.\n\nOversee platform modernization, data lakehouse, and cloud migration initiatives.\n\nEnsure alignment between business objectives, architecture standards, and technology roadmaps.\n\nDelivery Management\n\nCoordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.\n\nManage Agile delivery across multiple workstreams.\n\nTrack program KPIs including schedule, financials, quality, productivity, and business outcomes.\n\nEnsure successful transition from project implementation to steady-state operations.\n\nStakeholder Engagement\n\nServe as the primary liaison between business leaders, data teams, architecture groups, and external partners.\n\nFacilitate steering committee reviews and executive presentations.\n\nDrive decision-making and issue resolution across organizational boundaries.\n\nData Governance & Compliance\n\nEnsure compliance with enterprise data governance standards.\n\nOversee data quality, metadata management, security, privacy, and regulatory requirements.\n\nDrive adoption of data cataloging and lineage frameworks.\n\nFinancial & Vendor Management\n\nManage program budgets and forecasts.\n\nOversee vendor performance and contractual deliverables.\n\nTrack business value realization and ROI for data initiatives.\n\nInnovation & Continuous Improvement\n\nIdentify opportunities to leverage AI/GenAI, automation, and advanced analytics.\n\nPromote engineering best practices and operational excellence.\n\nDrive platform optimization, FinOps, and cost governance initiatives.\n\nGeneric Managerial Skills, If any\n\nProgram delivery within budget and schedule.\n\nBusiness value realization from data initiatives.\n\nData platform adoption and user satisfaction.\n\nReduced time-to-insight and improved analytics capabilities.\n\nImproved platform reliability, scalability, and cost efficiency.\n\nSuccessful governance and regulatory compliance adherence.\n\nRequired Skills\nTechnical Project Manager","company":"Realign","rawCompany":"realign","city":"Mounds View","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-08-27T11:53:58.567Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data engineering program manager","description":"Mounds View, Minnesota 55112 Posted August 25th, 2026\nJob Type: Full Time\nJob Category: IT\nJob Description\n\nJob Title: Data engineering program manager\n\nLocation: Mounds View, MN\n\nFull Time\n\nJob Description\n\nMust Have Technical/Functional Skills\n\nSnowflake: Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.\n\nDatabricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.\n\nCloud Platforms: AWS preferred; Azure and GCP exposure beneficial.\n\nData Engineering Technologies: Python, SQL, DBT, Airflow, ETL/ELT frameworks, API integration.\n\nData Management: Data Modeling, Data Governance, Master Data Management, Data Quality.\n\nCertifications & Domain Knowledge\n\nPMP, PgMP, SAFe Program Consultant, or SAFe Agilist certification.\n\nSnowflake certification and/or Databricks certification.\n\nAWS/Azure Solution Architect certification.\n\nExperience leading AI/GenAI-enabled data programs.\n\nExperience with healthcare compliance requirements such as HIPAA, GxP, and FDA-regulated environments.\n\nRoles & Responsibilities\n\n Program Leadership\n\nLead end-to-end delivery of enterprise data engineering and analytics programs.\n\nDefine program roadmap, milestones, dependencies, risks, and governance structures.\n\nManage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML initiatives.\n\nDrive executive-level status reporting and steering committee governance.\n\nData Platform Strategy\n\nPartner with business and IT leaders to define enterprise data strategies leveraging Snowflake and Databricks.\n\nOversee platform modernization, data lakehouse, and cloud migration initiatives.\n\nEnsure alignment between business objectives, architecture standards, and technology roadmaps.\n\nDelivery Management\n\nCoordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.\n\nManage Agile delivery across multiple workstreams.\n\nTrack program KPIs including schedule, financials, quality, productivity, and business outcomes.\n\nEnsure successful transition from project implementation to steady-state operations.\n\nStakeholder Engagement\n\nServe as the primary liaison between business leaders, data teams, architecture groups, and external partners.\n\nFacilitate steering committee reviews and executive presentations.\n\nDrive decision-making and issue resolution across organizational boundaries.\n\nData Governance & Compliance\n\nEnsure compliance with enterprise data governance standards.\n\nOversee data quality, metadata management, security, privacy, and regulatory requirements.\n\nDrive adoption of data cataloging and lineage frameworks.\n\nFinancial & Vendor Management\n\nManage program budgets and forecasts.\n\nOversee vendor performance and contractual deliverables.\n\nTrack business value realization and ROI for data initiatives.\n\nInnovation & Continuous Improvement\n\nIdentify opportunities to leverage AI/GenAI, automation, and advanced analytics.\n\nPromote engineering best practices and operational excellence.\n\nDrive platform optimization, FinOps, and cost governance initiatives.\n\nGeneric Managerial Skills, If any\n\nProgram delivery within budget and schedule.\n\nBusiness value realization from data initiatives.\n\nData platform adoption and user satisfaction.\n\nReduced time-to-insight and improved analytics capabilities.\n\nImproved platform reliability, scalability, and cost efficiency.\n\nSuccessful governance and regulatory compliance adherence.\n\nRequired Skills\nTechnical Project Manager","datePosted":"2026-08-27T11:53:58.567Z","dateModified":"2026-08-27T11:53:58.567Z","hiringOrganization":{"@type":"Organization","name":"Realign","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mounds View","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fa2f35b392bca6a88f46fbb0"},"url":"https://jobsearcher.com/jobs/fa2f35b392bca6a88f46fbb0"}}