Lead Data Architect (Palantir Lead Architect)

Capgemini • Chicago, IL

8h • $109,180 - $197,175

About The Position

Capgemini is hiring a Lead Data Architect (Palantir Lead Architect) in Chicago, IL. The role calls for an experienced data engineering professional with hands-on expertise in Palantir Foundry, strong programming and data-processing skills, and the ability to address complex data issues and improve performance. The architect will work with data modeling, governance, and access controls, and may apply cloud platforms, Snowflake, and Generative AI to data workflows. The posted base compensation range is $109,180 to $197,175. The position may also be eligible for variable incentives, bonuses, or commissions. Capgemini describes its benefits package for regular full-time employees as including paid time off, holidays, personal days, sick leave, medical, dental, and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• At least 8 years of experience in data engineering or related roles.
• Strong proficiency in PySpark, Spark SQL, and Python.
• Deep hands-on experience with Palantir Foundry, including Data Connections, Pipeline Builder, Contour, Code Repositories, Ontology Management, Workshop, and Quiver.
• Solid understanding of data modeling, data governance, and access control.
• Proven ability to troubleshoot complex data issues and optimize performance.
• Excellent communication and collaboration skills.
• Knowledge of data security, compliance, and metadata management.

Nice To Haves

• Experience with cloud platforms such as Azure.
• Familiarity with Snowflake and its integration with Foundry.
• Exposure to Generative AI and its application in data workflows.

Responsibilities

• Troubleshoot complex data issues and optimize performance.
• Work with Palantir Foundry capabilities, including Data Connections, Pipeline Builder, Contour, Code Repositories, Ontology Management, Workshop, and Quiver.
• Apply data modeling, data governance, and access-control practices.
• Use cloud platforms, such as Azure, and work with Snowflake integration with Foundry.
• Apply Generative AI concepts in data workflows.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed