Lead Data Engineer (Databricks)

Lead Data Engineer – Databricks | Los Angeles, CA (Hybrid)

We are hiring an experienced
Lead Data Engineer
for a full-time opportunity based in
Los Angeles, CA
. This role is ideal for someone with a strong data engineering foundation who enjoys both hands-on technical work and leading engineering teams.

Location: Los Angeles, CA (Hybrid)

Experience Required:

✅ 9–12 Years

Key Responsibilities:

• Design and build scalable ETL/ELT data pipelines
• Work extensively on the Databricks ecosystem using SQL, Python, and PySpark
• Develop and optimize data models, Lakehouse architectures, and data marts
• Implement orchestration and monitoring for production-grade pipelines
• Handle CDC, incremental loads, and performance tuning
• Collaborate directly with business stakeholders and reporting teams
• Lead and mentor a team of data engineers across multiple workstreams
• Drive technical solutioning, code reviews, and best practices

Required Skills:

• Strong hands-on experience with Databricks
• Expertise in SQL, Python, and PySpark
• Experience with workflow orchestration tools like Airflow
• Strong data modeling and warehousing experience
• Experience working with cloud platforms (AWS/GCP/Azure preferred)
• Leadership experience managing engineering teams and stakeholders

Preferred Skills:

• Experience in using Cloud Platforms (AWS / GCP / Azure)
• Experience in using Visualization tools (Tableau / Power BI)
• Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)