Senior Data Engineer

Lead the redesign of our BigQuery-based data warehouse for scalability, performance, and usability. The current data warehouse has grown organically, and we need to rethink it to ensure it meets our users’ needs. Develop and monitor Airflow DAGs using dbt and Python to ensure timely, reliable data flows. Sync with engineering teams to anticipate data changes coming from our platform. We use the GCP’s managed Airflow environment, and our code is on Github. Keep existing pipelines, Airflow, dbt, and ingestion tools (Fivetran, Datastream) running smoothly with minimal downtime. Keep technical docs keep up to date to help others understand the data stack and workflows. Collaborate with Analytics, Product, Marketing, and Engineering teams to understand their data needs and deliver trusted results.