Were looking for a data engineering leader who can own our data platform end-to-end: Youve designed and operated data platforms at scale, with broad hands-on experience across the ecosystem - distributed processing, lakehouses, warehouses, streaming, orchestration - and people usually come to you for technical guidance. Day to day, that looks like: Setting the technical direction for our data platform: evolving our warehouse, data lake, and ETL/ELT architecture to scale with patient and customer growth, and picking the right tools (batch and streaming processing, table formats, orchestration, query engines).