- Lead a team of data engineers and engineering managers building large-scale, real-time data pipelines in Spark
- Act as the primary technical liaison to business leadership, translating trade-offs between technology and business priorities
- Set the multi-year technical direction for Data Engineering and communicate strategy across technical and business audiences
- Partner with data scientists, analysts, and business stakeholders to turn requirements into data products
- Represent Data Engineering in cross-functional and executive planning
- Set architectural direction and standards for data movement, from streaming ingestion through ETL to analytics
- Manage and develop data engineering managers, building growth paths and providing direct coaching