Position: Data engineering program manager
Locations: Mounds View, MN (Onsite Position from day one)
Duration: Fulltime
Salary is $160K/Annum + benefits + Annual Bonus + Relocation $4K
Must Have Technical/Functional Skills
- Snowflake: Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.
- Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.
- Cloud Platforms: AWS preferred; Azure and GCP exposure beneficial.
- Data Engineering Technologies: Python, SQL, DBT, Airflow, ETL/ELT frameworks, API integration.
- Data Management: Data Modeling, Data Governance, Master Data Management, Data Quality.
- Certifications & Domain Knowledge
- PMP, PgMP, SAFe Program Consultant, or SAFe Agilist certification.
- Snowflake certification and/or Databricks certification.
- AWS/Azure Solution Architect certification.
- Experience leading AI/GenAI-enabled data programs.
- Experience with healthcare compliance requirements such as HIPAA, GxP, and FDA-regulated environments.
Roles & Responsibilities
- Program Leadership
- Lead end-to-end delivery of enterprise data engineering and analytics programs.
- Define program roadmap, milestones, dependencies, risks, and governance structures.
- Manage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML initiatives.
- Drive executive-level status reporting and steering committee governance.
- Data Platform Strategy
- Partner with business and IT leaders to define enterprise data strategies leveraging Snowflake and Databricks.
- Oversee platform modernization, data lakehouse, and cloud migration initiatives.
- Ensure alignment between business objectives, architecture standards, and technology roadmaps.
- Delivery Management
- Coordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.
- Manage Agile delivery across multiple workstreams.
- Track program KPIs including schedule, financials, quality, productivity, and business outcomes.
- Ensure successful transition from project implementation to steady-state operations.
- Stakeholder Engagement
- Serve as the primary liaison between business leaders, data teams, architecture groups, and external partners.
- Facilitate steering committee reviews and executive presentations.
- Drive decision-making and issue resolution across organizational boundaries.
- Data Governance & Compliance
- Ensure compliance with enterprise data governance standards.
- Oversee data quality, metadata management, security, privacy, and regulatory requirements.
- Drive adoption of data cataloging and lineage frameworks.
- Financial & Vendor Management
- Manage program budgets and forecasts.
- Oversee vendor performance and contractual deliverables.
- Track business value realization and ROI for data initiatives.
- Innovation & Continuous Improvement
- Identify opportunities to leverage AI/GenAI, automation, and advanced analytics.
- Promote engineering best practices and operational excellence.
- Drive platform optimization, FinOps, and cost governance initiatives.
Generic Managerial Skills, If any
- Program delivery within budget and schedule.
- Business value realization from data initiatives.
- Data platform adoption and user satisfaction.
- Reduced time-to-insight and improved analytics capabilities.
- Improved platform reliability, scalability, and cost efficiency.
- Successful governance and regulatory compliance adherence.
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