Lead Data Engineer (Databricks)

ALOIS Solutions
Los Angeles, US
Hybrid

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
High
Decision Impact
Team
Role Level
Team Lead

What success looks like

  • Design and build scalable ETL/ELT data pipelines
  • Develop and optimize data models, Lakehouse architectures, and data marts
  • Implement orchestration and monitoring for production-grade pipelines
  • Lead and mentor a team of data engineers
Typical background
9-12 years of experience in data engineeringExperience with Databricks and cloud platforms

Transferable backgrounds

Skills & requirements

Required

DatabricksSQLPythonPySparkData ModelingCloud PlatformsLeadership

Preferred

AirflowTableauPower BIHadoopHiveHbasePigSpark

Stack & domain

DatabricksSqlPythonPysparkWorkflow orchestration tools like airflowCloud platforms (aws/gcp/azure)

About the role

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…

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