{"schemaVersion":"jobsearcher.job.v1","id":"d5a835b6ffb8f0f0bb67e81d","url":"https://jobsearcher.com/jobs/d5a835b6ffb8f0f0bb67e81d","canonicalUrl":"https://jobsearcher.com/jobs/d5a835b6ffb8f0f0bb67e81d","title":"Lead Data Engineer","description":"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.ResponsibilitiesLead 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 boundaryApply 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 workaroundsCoordinate with external vendors (e.g., DataArt) and internal stakeholders across DevOps, product, and analyticsProactively identify architectural risks, data quality issues, and dependency blockers with proposed resolutionsMaintain clear, impact-first documentation and status updates for both technical and non-technical stakeholdersOther duties as assignedQualifications4+ years of data engineering experience, with at least 1–2 years focused on data platform or Lakehouse architectureHands-on experience with domain-driven design applied to data modelingStrong 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 plusExcellent written communication — able to write design docs non-engineers can understand and status updates executives can act onDemonstrated ability to work independently in ambiguous environmentsTrack record of flagging risks early with proposed solutionsNice to have: Experience in music/media/entertainment data; familiarity with data contracts or schema validation (Dataplex, Great Expectations, dbt tests); experience with external dev vendorsJ-18808-Ljbffr","company":"Compunnel","rawCompany":"compunnel","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-12T11:49:32.100Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"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.ResponsibilitiesLead 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 boundaryApply 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 workaroundsCoordinate with external vendors (e.g., DataArt) and internal stakeholders across DevOps, product, and analyticsProactively identify architectural risks, data quality issues, and dependency blockers with proposed resolutionsMaintain clear, impact-first documentation and status updates for both technical and non-technical stakeholdersOther duties as assignedQualifications4+ years of data engineering experience, with at least 1–2 years focused on data platform or Lakehouse architectureHands-on experience with domain-driven design applied to data modelingStrong 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 plusExcellent written communication — able to write design docs non-engineers can understand and status updates executives can act onDemonstrated ability to work independently in ambiguous environmentsTrack record of flagging risks early with proposed solutionsNice to have: Experience in music/media/entertainment data; familiarity with data contracts or schema validation (Dataplex, Great Expectations, dbt tests); experience with external dev vendorsJ-18808-Ljbffr","datePosted":"2026-05-12T11:49:32.100Z","dateModified":"2026-05-12T11:49:32.100Z","hiringOrganization":{"@type":"Organization","name":"Compunnel","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d5a835b6ffb8f0f0bb67e81d"},"url":"https://jobsearcher.com/jobs/d5a835b6ffb8f0f0bb67e81d"}}