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# Palantir Data Engineer / Architect

- **Company:** Capgemini
- **Location:** Cincinnati, OH, United States
- **Experience:** Experienced
- **Salary:** $110,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Systems, DevOps, Python (Programming Language), Software Deployment, SQL Databases, TypeScript, Software Repository, Google Cloud, Ontology Design, Palantir Foundry, Pyspark, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466624509&tx=FK4946FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Bachelor-s or Master-s degree in Computer Science, Engineering, Data Science, or a related field.

3+ years of experience working with Palantir Foundry, including ontology design, code repositories, and pipeline development.

Strong understanding of data architecture, ETL/ELT processes, and cloud platforms (e.g., AWS, Azure, GCP).

Proficiency in Python, PySpark, SQL,

Experience with data governance, security models, and access control in enterprise environments.

Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications

Palantir Foundry certification or equivalent hands-on experience.

Experience in defense, aerospace, healthcare, or government sectors.

Familiarity with DevOps practices, CI/CD pipelines, and agile methodologies.

Knowledge of AI/ML integration within Palantir workflows.

Familiarity with JavaScript or TypeScript.

## Description

Architect and design end-to-end data solutions using Palantir Foundry, including ontology modeling, pipeline development, and operational workflows.

Collaborate with business and technical teams to translate requirements into scalable data models and applications.

Lead the integration of diverse data sources (structured and unstructured) into Foundry, ensuring data quality, lineage, and governance.

Develop and enforce best practices for data modeling, pipeline orchestration, and application deployment within the Palantir ecosystem.

Provide technical leadership and mentorship to junior developers and engineers working on Palantir projects.

Partner with security and compliance teams to ensure data privacy, access control, and regulatory compliance.

Stay current with Palantir platform updates and emerging technologies to continuously improve solution design and performance.