Lead Data Engineer

The Lead Data Engineer will play a central role in the buildout of Client's next-generation data platform — Medallion 2.0. This is a high-ownership role on a small, senior team, working directly with the SVP of Data & AI to design and implement a scalable medallion architecture across bronze, silver, and gold layers. The role emphasizes domain-driven design, data contracts, and proactive communication with both internal stakeholders and external vendors. Responsibilities Lead the technical design and implementation of Client Medallion 2.0 architecture — bronze ingestion, silver transformation, and gold domain layers — with clear data contracts at each boundary Apply domain-driven design principles to partition and model data domains (e.g., royalty, asset, artist, distribution) Collaborate with the analytics team to ensure the gold layer reflects real business needs — reducing workarounds Coordinate with external vendors (e.g., DataArt) and internal stakeholders across DevOps, product, and analytics Proactively identify architectural risks, data quality issues, and dependency blockers with proposed resolutions Maintain clear, impact-first documentation and status updates for both technical and non-technical stakeholders Other duties as assigned Qualifications 4+ years of data engineering experience, with at least 1–2 years focused on data platform or Lakehouse architecture Hands-on experience with domain-driven design applied to data modeling Strong command of SQL and at least one transformation framework (dbt preferred) Experience with medallion or Lakehouse architectures (bronze/silver/gold or equivalent) Familiarity with GCP-native tooling — BigQuery, Pub/Sub, Dataflow, or Dataplex a plus Excellent written communication — able to write design docs non-engineers can understand and status updates executives can act on Demonstrated ability to work independently in ambiguous environments Track record of flagging risks early with proposed solutions Nice to have: Experience in music/media/entertainment data; familiarity with data contracts or schema validation (Dataplex, Great Expectations, dbt tests); experience with external dev vendors #J-18808-Ljbffr