Azure Data Engineering Lead - Databricks (Hybrid CA)

Capgemini; San Francisco (CA); Hybrid; USD 133,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off (PTO)

401(k) plan

Life and disability insurance

Job summary

Capgemini is seeking a Senior Data Engineering Lead in a hybrid role based in Fremont, CA. The candidate will oversee data warehousing and lake architectures on Azure, drive development teams, and collaborate with stakeholders to deliver scalable data solutions.

The role emphasizes leadership, deep Azure expertise, and hands-on data engineering with Databricks and SQL, within a strong, global Capgemini community.

Qualifications

• 8+ years of experience in modern data engineering and data warehousing on Azure
• Experience leading data engineering teams and managing stakeholders
• Strong data modeling and SQL skills for large-scale data platforms
• Hands-on with Azure data services (lake, warehouse, storage) and ETL/ELT tooling

Responsibilities

• Lead data engineering initiatives and teams.
• Architect data warehousing and data lake solutions on Azure.
• Define and enforce data modeling and ETL/ELT standards.
• Drive project timelines and ensure high-quality deliverables.

Skills

Python

PySpark

SQL

Azure Cloud Services

Databricks

Leadership

Data Modeling

Tools

Azure Synapse

Azure SQL

Amazon Redshift

Snowflake

Google BigQuery

Job description

Capgemini is seeking a Senior Data Engineering Lead in a hybrid role based in Fremont, CA. The candidate will oversee data warehousing and lake architectures on Azure, drive development teams, and collaborate with stakeholders to deliver scalable data solutions.

The role emphasizes leadership, deep Azure expertise, and hands-on data engineering with Databricks and SQL, within a strong, global Capgemini community.