Lead Data Engineer

Capgemini • Chicago, IL

1d

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description Palantir Foundry Lead-Architect. We are seeking a highly experienced Foundry Lead Data Engineer to architect, develop, and optimize scalable data solutions using Palantir Foundry. This senior role is ideal for a data engineering expert who thrives in complex, ontology-aware environments and can lead the design of robust data pipelines and applications that drive actionable insights. You will play a pivotal role in shaping our data strategy, collaborating with stakeholders across the organization, and ensuring the integrity, performance, and cost-efficiency of our data ecosystem. While familiarity with Generative AI (GenAI) is a plus, your core expertise should lie in data architecture, pipeline development, and Foundry platform mastery.

Requirements

• 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.

Nice To Haves

• Experience with cloud platforms (e.g., Azure).
• Familiarity with Snowflake and its integration with Foundry.
• Exposure to Generative AI (GenAI) and its application in data workflows.
• Knowledge of data security, compliance, and metadata management.

Responsibilities

• Design, build, and maintain end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Python.
• Architect scalable data frameworks that support high-performance analytics and operational workflows.
• Conduct data cleansing, transformation, and validation to ensure data quality and consistency.
• Configure and manage data connections, Pipeline Builder, and Contour for data exploration and visualization.
• Develop and maintain ontology objects, ensuring semantic consistency and reusability across applications.
• Manage code repositories and version control within Foundry, promoting modular and maintainable engineering practices.
• Collaborate with data owners and domain experts to ingest, transform, and model data into ontology-driven applications such as Workshop and Quiver.
• Maintain clarity on the end-to-end architecture and data flow, ensuring seamless integration from ingestion to ontology.
• Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Engage with senior leadership to maintain a feedback loop for Foundry program improvements.
• Provide mentorship and technical guidance to junior engineers and analysts.
• Establish and maintain cost monitoring and reporting for Foundry-related operations.
• Lead efforts in troubleshooting, performance tuning, and platform stability.
• Stay current with Foundry platform updates, emerging features, and best practices.
• Identify opportunities for automation, optimization, and innovation in data workflows.
• Explore and evaluate GenAI capabilities for potential integration into data processes.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• 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

What This Job Offers

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