RunwayUnited StatesBuilds and scales data infrastructure including pipelines for multimodal ML datasets, ETL/CDC streams, and database management to support AI research and business intelligence. Requires 4+ years in data engineering with strong Python and SQL skills.
Staff-level technical lead and architect for Haus's data ingestion and normalization platform. Owns schema evolution, data contracts, DQ, lineage, and observability in a GCP/BigQuery/dbt stack. Partners with DS and Product; mentors senior engineers.
Own the technical vision and architecture for a data & ML platform serving analytics, product, and machine learning workloads. Drive cross-org initiatives, set platform standards, and build infrastructure at the intersection of data engineering and ML systems.
Owns data warehouse transformation layer using dbt and Airflow, builds dimensional models for company-wide analytics, and partners with stakeholders to deliver trusted metrics on billing, usage, and operations.
Designs and operates medallion data warehouse (bronze/silver/gold) for product, usage, and billing data. Builds Airflow pipelines, dbt transformations, and analytics models using SQL, Python, and Spark while leading data governance and quality.
Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.