Lead Data Architect (Palantir Lead Architect)

Capgemini; Chicago (IL); On-site; USD 109,000 - 197,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Paid time off

Job summary

Capgemini is seeking a Lead Data Architect (Palantir Lead Architect) in Chicago to guide data architecture and Palantir Foundry deployments. You will drive data modeling, governance, and secure access controls while collaborating with multiple teams to deliver scalable data solutions.

The role requires 8+ years in data engineering or related roles, deep hands-on Palantir Foundry expertise, and strong Python/PySpark skills.

Qualifications

• 8+ years of experience in data engineering or related roles.
• Strong proficiency in PySpark, Spark SQL and Python.
• Hands-on experience with Palantir Foundry including data connections, pipelines and ontology management.

Responsibilities

• Lead data architecture and Palantir Foundry implementations for complex data workflows.
• Troubleshoot data issues and optimize performance across pipelines and governance processes.
• Collaborate with cross-functional teams to ensure compliant, scalable data solutions.

Skills

Palantir Foundry

PySpark

Spark SQL

Python

Data modeling

Data governance

Cloud platforms (Azure)

Snowflake integration

GenAI in data workflows

Tools

Azure

Snowflake

Git

Job description

Lead Data Architect (Palantir Lead Architect)* Contact us* Investors* United States | EN* Insights* Industries* Services* Careers* News* About us# Lead Data Architect (Palantir Lead Architect)ChicagoApply for this job* Permanent* Experienced Professionals* Data & AI* ID 555944-en\\_USChoosing 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.## **Location**Chicago IL## **Your Role**\\*\\*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.## **Required Skills and Experience**- 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\\*The base compensation range for this role in the posted location is $109,180 to $197,175 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.**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), 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**Important Notice:** Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.**Disclaimers**Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.