Senior Data Engineer, Databricks Lakehouse (Onsite Atlanta)

Capgemini; Atlanta (GA); On-site; USD 89,000 - 166,000; Full time

Benefits offered by this job

Vacation: 12-25 days

Company paid holidays

Personal days

Sick leave

Medical, dental, and vision coverage

Retirement savings plans: 401(k) / RR$

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Senior Data Engineer in Atlanta, GA to design, build, and optimize scalable data solutions on the Databricks Lakehouse Platform. You will define end-to-end data architecture, lead large engineering teams, and manage senior client stakeholders to deliver value.

The role requires hands-on Databricks, PySpark/Python, SQL, and cloud experience across Azure/AWS/GCP, with Delta Lake production deployments and data modeling expertise.

Qualifications

• 6+ years of data engineering experience.

Responsibilities

• Define and deploy an end-to-end data architecture including Databricks medallion architecture.
• Lead large teams to deploy Databricks solutions and ensure deliverables.
• Manage senior client stakeholders and align technical work with business goals.

Skills

Data engineering

Databricks

PySpark/Python

SQL development

CI/CD

Airflow

Delta Lake

Delta Sharing

Databricks Apps

Databricks Genie

AI/BI

Data modeling

Tools

Cloud platforms: Azure/AWS/GCP

Delta Lake (production)

Infomatica

Talend

Matillion

Databricks Marketplace

Databricks Unity Catalog

Databricks Data Visualization

Job description

Capgemini is seeking a Senior Data Engineer in Atlanta, GA to design, build, and optimize scalable data solutions on the Databricks Lakehouse Platform. You will define end-to-end data architecture, lead large engineering teams, and manage senior client stakeholders to deliver value.

The role requires hands-on Databricks, PySpark/Python, SQL, and cloud experience across Azure/AWS/GCP, with Delta Lake production deployments and data modeling expertise.