- Own architecture and operational health of the data-orchestration layer.
- Lead a team of data engineers/ETL analysts on day-to-day project work.
- Define and enforce data pipelines' SLAs, error-recovery, and documentation.
- Lead cross-system interoperability work and design abstractions.
- Partner with reporting/analytics teams to ensure data models align with needs.
- Own and evolve tooling around data quality, observability, lineage, and cataloging.
- Evangelize data-as-product mindset and define APIs and data contracts.
SnowflakeAirflowData engineering+4 more