Databricks Engineer

Job Description

Design enterprise-scale Lakehouse architecture using Databricks.
Define target-state data platform architectures and migration roadmaps.
Develop reference architectures, reusable frameworks, and accelerator solutions.
Establish enterprise data governance, security, and operational standards.

• Well versed with role based access controls, data masking, developing models with Unity Catalog to enable secure sharing and ensure classification, lineage, and auditability.
• Hands on experience with Py-Spark job development and implementation.
• Familiarity with CI/CD methods desired.
• Background working with orchestration tools, such as Airflow.
• Strong knowledge of Unity Catalog and large scale governance.
• Experience in advanced features of DataBricks like Databricks Apps, Delta sharing.
• Knowledge of real time and streaming integration.

Pay

The base compensation range for this role in the posted location is: 79,000 to 106,000.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F)
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility