Lead Data Engineer (Sr. Palantir Engineer) at Capgemini Portugal

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

160000.0

Posted On

16 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Palantir Foundry, PySpark, Spark SQL, Python, Data Architecture, ETL/ELT Pipelines, Ontology Management, Data Modeling, Data Governance, Azure, Snowflake, Generative AI, Workshop, Quiver, Contour, Pipeline Builder

Industry

IT Services and IT Consulting

Description

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 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. Required Qualifications • 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.Key Responsibilities Data Architecture & Pipeline Engineering • 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. Palantir Foundry Platform Expertise • 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. Ontology-Aware Application Development • 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.Cross-Functional Collaboration & Leadership• 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. Operational Excellence & Cost Management • Establish and maintain cost monitoring and reporting for Foundry-related operations.• Lead efforts in troubleshooting, performance tuning, and platform stability. Continuous Improvement & Innovation • 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.Preferred Qualifications • 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:$110,000- $160,000 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-law Capgemini 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.

Responsibilities

Architect and develop scalable data solutions and ETL pipelines using Palantir Foundry and PySpark. Lead the design of ontology-driven applications and provide technical mentorship to junior engineers.