Databricks Lakehouse Architect Lead

Capgemini; New York (NY); Hybrid; USD 111,000 - 145,000; Full time

Benefits offered by this job

401(k) matching

Health insurance

Paid time off

Job summary

Capgemini is seeking a senior data platform engineer to design enterprise-scale Lakehouse architectures with Databricks. You will define migration roadmaps and establish governance, security, and operational standards across the data landscape.

The role requires hands-on PySpark development, familiarity with Airflow, and experience with Unity Catalog-based secure sharing and auditing. Hybrid onsite in Charlotte, NC and broader Capgemini data initiatives.

Qualifications

• Experience designing enterprise data architectures and governance frameworks.
• Hands-on with PySpark development and orchestration tools.
• Knowledge of Unity Catalog, data masking, and secure sharing.

Responsibilities

• Design enterprise-scale Lakehouse architectures using Databricks.
• Define target-state data platform architectures and migration roadmaps.
• Establish governance, security, and operational standards for data.

Skills

Databricks

PySpark

Airflow

CI/CD

Data governance

Tools

Unity Catalog

Delta sharing

Job description

Capgemini is seeking a senior data platform engineer to design enterprise-scale Lakehouse architectures with Databricks. You will define migration roadmaps and establish governance, security, and operational standards across the data landscape.

The role requires hands-on PySpark development, familiarity with Airflow, and experience with Unity Catalog-based secure sharing and auditing. Hybrid onsite in Charlotte, NC and broader Capgemini data initiatives.