IT Data Engineer Lead, Lead Data Engineer

Role Overview: We're looking for a lead data engineer who loves turning messy, multi-system data into trusted, reusable solutions and who gets energy from helping other engineers and business partners grow. You'll lead complex, cross-team initiatives on Microsoft Fabric, turn architectural direction into proven engineering patterns, and partner with stakeholders, architects, and EDS leadership to deliver scalable, secure data solutions that the whole University can rely on.

What You'll Do: Lead the design and delivery of complex data solutions on Microsoft Fabric (Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, notebooks, and Power BI semantic models), from solution design and estimation through production handoff. Develop reusable frameworks, templates, and patterns, such as medallion layers, ingestion frameworks, CI/CD, and automated testing, that speed up delivery across teams. Lead the modernization of legacy ETL and reporting solutions onto the Fabric platform. Contribute to architecture decisions and the platform roadmap with an eye for scalability, performance, cost, and maintainability. Establish and promote engineering best practices for data modeling, pipeline design, version control, code review, testing, and documentation. Partner with stakeholders, analysts, and data scientists to translate business needs into technical solutions and onboard new use cases onto the platform. Ensure solutions meet data governance, security, and compliance requirements (e.g., FERPA), including data quality, metadata, and lineage practices. Mentor junior and mid-level engineers through code reviews, design sessions, and pair programming. Serve as an escalation point for complex data and platform issues, driving root-cause analysis and lasting fixes. This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services. May be required to work evenings, nights, weekends, or different shifts for extended periods.

Physical Demands: Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Preferences : (Bonus Points) Experience migrating legacy ETL and reporting solutions to cloud platforms. Familiarity with data governance practices such as data quality, stewardship, metadata, and lineage. Experience working with higher education data or regulated data environments (e.g., FERPA).A track record of mentoring engineers or building internal frameworks and tooling that improved team efficiency. Microsoft certifications (e.g., DP-700 Fabric Data Engineer, DP-600 Fabric Analytics Engineer, PL-300 Power BI Data Analyst).

Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in-person component with expected time in our College Park, MD location per week. Telework is not a guaranteed work arrangement. Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future. F1 STEM OPT support is not available for this position. Required Application Materials: Applications missing the materials below will NOT be considered ResumeCover LetterList of Three References Best Consideration Date: November 17, 2026 Posting Close Date: N/AOpen Until Filled: Yes