Senior Engineer Data Enablement & Management (Redshift/Databricks)
University of Maryland Global Campus · Posted Nov 6, 2026
- Adelphi, Maryland, United States
- Hybrid
- Full-time · Senior
- $133K–$148K per year
- 5+ years
Senior technical leader for enterprise data engineering, data platform operations, and advanced analytics enablement across Databricks, Delta Lake, Apache Spark, AI/BI capabilities, and cloud data architectures.
Compensation
$133,000.00 - $148,000.00
Responsibilities
- Lead the design, implementation, optimization, and operational maturity of enterprise data engineering capabilities across the Data & AI platform.
- Establish engineering standards, reusable frameworks, architectural patterns, automation practices, and operational procedures that support scalable and reliable enterprise data services.
- Lead development and modernization of enterprise data pipelines, Lakehouse architecture components, data products, and integration capabilities.
- Guide complex migration and modernization efforts, including Redshift-to-Databricks transitions and enterprise data platform transformation initiatives.
- Lead engineering efforts supporting Databricks AI/BI dashboards, Genie Agents, Genie One, semantic models, governed data products, data marts, and advanced analytics capabilities.
Requirements
- Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline or equivalent combination of education and experience.
- Nice to have: Master's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline