Lead Data Engineer

Create Music Group

Hollywood, California, Canada
Base: $120,000 - $150,000 cad py; bonus/equity: no...
Remote
Databricks and delta lake experience
Google cloud storage lakehouse architecture
Domain-driven data modeling principles
Create Music Group is seeking a Lead Data Engineer to spearhead the development of their next-generation data platform using Google Cloud and Databricks. The ideal candidate should have extensive experience in data engineering, particularly with lakehouse architectures and domain-driven design, while also being able to communicate effectively with both technical and non-technical stakeholders

Job Summary

  • The Lead Data Engineer will design and implement a scalable Medallion 2.0 lakehouse architecture on Google Cloud Storage and Databricks.
  • This role requires leading technical design for bronze, silver, and gold data layers while applying domain-driven design principles to partition data domains.
  • Candidates must possess strong communication skills to document architectural decisions for both technical teams and non-technical executives.

Matching Summary

Match Score: 85

Create Music Group is seeking a Lead Data Engineer to spearhead the development of their next-generation data platform using Google Cloud and Databricks. The ideal candidate should have extensive experience in data engineering, particularly with lakehouse architectures and domain-driven design, while also being able to communicate effectively with both technical and non-technical stakeholders.

Salary

Base: $120,000 - $150,000 CAD per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Databricks and Delta Lake experience
  • Google Cloud Storage lakehouse architecture
  • Domain-driven data modeling principles
  • PySpark and Airflow pipeline development
  • Unity Catalog governance implementation

Nice-to-have

  • Experience in music or media industry data
  • Familiarity with external vendor management
  • Knowledge of GCP-native tools like Pub/Sub
  • Schema validation using Great Expectations
  • Strong written communication for executives

Key Requirements

  • 4+ years of data engineering experience
  • 1–2 years focused on data platform or lakehouse architecture
  • Hands-on experience with Databricks Unity Catalog
  • Strong command of SQL and transformation frameworks

Work Rights

Not specified

Tailored Resume

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