Lead Data Engineer in Los Angeles

Lead end-to-end data engineering delivery while serving as the primary client-facing program owner, ensuring scalable data solutions and successful project execution.

Day-to-Day Responsibilities:

• Lead development and optimization of data pipelines using Databricks, SQL, Python, and PySpark
• Design and maintain data models, Lakehouse architecture, and data marts
• Orchestrate and monitor ETL/ELT workflows, ensuring performance and reliability
• Act as primary point of contact for stakeholders, running meetings and providing updates
• Manage timelines, deliverables, and overall workstream execution
• Coordinate across onshore/offshore teams and unblock technical challenges
• Conduct code reviews, enforce best practices, and mentor engineering team members
• Oversee data quality, monitoring, alerting, and production issue resolution
• Translate business requirements into scalable technical solutions

Must be authorized to work in the U.S. This position is not eligible for sponsorship., * Must-Haves:

• 8-12 years of experience in data engineering or analytics roles
• Strong hands-on experience with Databricks (critical requirement)
• Proficiency in SQL, Python, and PySpark
• Experience building and maintaining scalable ETL/ELT pipelines
• Strong understanding of data warehousing and dimensional modeling
• Experience with workflow orchestration tools (e.g., Airflow)
• Cloud experience (AWS ; any cloud acceptable with Databricks)
• Proven experience in client/stakeholder management and communication
• Experience owning projects, managing timelines, and delivering end-to-end solutions
• Leadership experience guiding teams and coordinating across multiple workstreams

• Nice-to-Haves:

• Media or entertainment industry experience
• Experience leading offshore teams
• Prior experience in a tech lead, delivery lead, or solutions role
• AWS-specific expertise
• Master's degree in a relevant field