Lead Data Architect (Palantir Lead Architect)

Capgemini•Chicago, ND
•$109,180 - $197,175

About The Position

Capgemini is hiring a Lead Data Architect (Palantir Lead Architect) in Chicago, Illinois. The role calls for substantial data engineering experience and deep hands-on expertise with Palantir Foundry. The architect will work with Foundry capabilities including Data Connections, Pipeline Builder, Contour, Code Repositories, Ontology Management, Workshop, and Quiver, applying knowledge of data modeling, governance, access control, security, compliance, and metadata management. The position also involves troubleshooting complex data issues and optimizing performance, with experience in cloud platforms such as Azure, Snowflake integration with Foundry, and exposure to generative AI in data workflows.

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.
  • Strong understanding of data modeling, data governance, and access control.
  • Ability to troubleshoot complex data issues and optimize performance.
  • Excellent communication and collaboration skills.
  • 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.
  • Knowledge of data security, compliance, and metadata management.

Responsibilities

  • Use Palantir Foundry capabilities, including Data Connections, Pipeline Builder, Contour, Code Repositories, Ontology Management, Workshop, and Quiver.
  • Troubleshoot complex data issues and optimize performance.
  • Apply data modeling, data governance, access control, data security, compliance, and metadata management practices.
  • Work with cloud platforms and Snowflake integrations with Foundry, as applicable.
  • Apply or contribute exposure to generative AI in data workflows.
  • Communicate and collaborate effectively.

Benefits

  • Paid time off, including vacation (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.
  • Other benefits as provided by local policy and eligibility.
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