Lead Data Engineer (Los Angeles, CA)

• Experience: 9–12 years
• Strong data engineering background
• Databricks is a must, along with experience in data modeling, building pipelines, orchestration, and supporting reporting teams

Job Functions:

• Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
• Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
• Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering.
• Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies.
• Manage end‑to‑end pipeline operations including performan...