Data Engineer, Platform

Job Summary The Data Engineer will contribute to the design and implementation of the next-generation data platform, Medallion 2.0. This role involves building scalable medallion architecture across bronze, silver, and gold layers, with strong ownership, autonomy, and communication expectations. The engineer will collaborate closely with leadership and cross-functional teams to ensure data models, transformations, and domain structures align with real business needs. Key Responsibilities Lead design and construction of Medallion 2.0 across bronze ingestion, silver transformation, and gold domain layers. Apply domain-driven design principles to create data models supporting both analytical and operational workloads. Partner with analytics to align consumption needs with gold-layer structures. Coordinate with internal teams and external vendors to ensure consistent architectural decisions and delivery. Identify architectural risks, quality issues, and blockers with recommended solutions. Produce clear documentation and communicate status updates for technical and non-technical stakeholders. Required Qualifications 4+ years of data engineering experience, including 1-2 years focused on data platform or lakehouse architecture. Hands-on experience with domain-driven design applied to data modeling. Strong SQL skills and experience with a transformation framework such as dbt. Experience with medallion/lakehouse architectures (bronze/silver/gold). Familiarity with GCP tooling such as BigQuery, Pub/Sub, Dataflow, or Dataplex. Excellent written communication and ability to explain designs clearly. Ability to work independently in ambiguous environments and raise risks early. Preferred Qualifications Experience in music, media, or entertainment data. Experience with data contracts or schema validation tools (Dataplex, Great Expectations, dbt tests). Prior experience working with distributed engineering teams or external vendors.