Manage the day-to-day delivery of a blended team of full-time Data Engineers, Analytics Engineers, and external partner resources - setting priorities, sequencing intake, removing blockers, planning capacity, accepting deliverables, and holding partners accountable to agreed quality, throughput, and responsiveness expectations. Knowledge, Skills, and Abilities: Significant hands-on depth in Databricks, including Delta Lake, Unity Catalog, medallion architecture, PySpark and Spark SQL, and Lakeflow Jobs orchestration - sufficient to review others' code, challenge a proposed design, and personally debug a failing production pipeline.