• Own core business metrics end-to-end: design, implement, test, document, and maintain them in dbt and Snowflake. • Convert ad-hoc analyses into durable, reusable warehouse artifacts rather than dashboard patches. • Implement and maintain automated data tests, monitors, and lineage; integrate them into CI. • Troubleshoot ingestion and transformation issues and ship fixes upstream (dbt/Snowflake) instead of working around problems at the edge. • Partner closely with other teams to ensure data is performant, stable, and production-ready for models. • Support product and commercial teams with analysis and insights. • Improve self-serve documentation, tools, and onboarding so others can rely on the warehouse without manual hand-holding. • Surface platform roadmap work: identify recurring needs that should become new marts, schemas, or pipelines.