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Tech Lead, Data Engineer

Create Music Group • 🌐 Remote

Remote Posted 1 day, 21 hours ago

Job Description

Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP’s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide.

Job Summary

The Tech Lead, Data Engineer will play a central role in the buildout of CMG'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 CMG's 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

Pay Scale

$120,000 - $150,000 CAD per year

The final compensation within this range will be determined based on the candidate’s experience, skills, and overall fit for the role.

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