Senior Data Engineer

Build and evolve data pipelines that connect our core systems (e.g., PostgreSQL, BigQuery, Braze). Own data modeling and warehouse architecture to support business use cases. Design and manage scalable data flows — whether through Segment, reverse ETL, or custom solutions. Maintain data workflows that support reporting, experimentation, cohort analysis, and marketing automation. Partner with Lifecycle and Product teams to define metrics, build segmentation logic, and support experimentation. Collaborate cross-functionally to enable reporting, cohort analysis, and marketing automation. Translate business needs into clean, scalable datasets. Leverage tools like Segment, BigQuery, dbt, and Airbyte to move fast and build reliable systems. Continuously evaluate and improve our data stack, from ingestion to activation. Deliver data to train state of the art AI agents and models. Help define and evolve our data engineering practices as we scale.