Senior Data Engineering Lead — Azure & Data Lakes

Capgemini; San Francisco (CA); Hybrid; USD 89,000 - 166,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) or equivalent

Paid time off

Employee assistance programs

Hybrid work model

Job summary

Capgemini Fremont, CA is seeking a Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing and data lake technologies on Azure. You will lead development teams, design architectures, and collaborate with stakeholders to deliver high-quality data solutions.

The role centers on Azure Synapse, Azure SQL, Databricks, and Medallion Architecture, with strong Python, PySpark and SQL skills. This hybrid role offers competitive compensation and benefits.

Qualifications

• 8+ years in modern data engineering, data warehousing, and data lake technologies on Azure.
• Hands-on with Azure Synapse/Azure SQL and at least one data warehouse platform (Redshift, Snowflake or BigQuery).
• Proficient in Python, PySpark and SQL; strong data modeling skills.
• Experience with Databricks and Medallion Architecture is highly desirable.
• Leadership to manage stakeholders and drive delivery timelines.

Responsibilities

• Lead data engineering teams and drive project timelines.
• Design and implement data warehouse and data lake architectures on Azure.
• Ensure high-quality deliverables and stakeholder alignment.
• Guide adoption of Medallion Architecture and best practices.

Skills

Python

PySpark

SQL

Azure Cloud

Data Warehousing

Data Modeling

Databricks

Medallion Architecture

ETL/ELT Tools

Leadership

Tools

Databricks

Azure Synapse

Azure SQL

Redshift

Snowflake

BigQuery

Job description

Capgemini Fremont, CA is seeking a Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing and data lake technologies on Azure. You will lead development teams, design architectures, and collaborate with stakeholders to deliver high-quality data solutions.

The role centers on Azure Synapse, Azure SQL, Databricks, and Medallion Architecture, with strong Python, PySpark and SQL skills. This hybrid role offers competitive compensation and benefits.