Senior Palantir Foundry Engineer; USASOC-CDAO

Position: Senior Palantir Foundry Engineer (USASOC-CDAO)
Overview

Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities.

By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones.

Kentro is hiring for Senior Palantir Foundry Engineer to support the U.S. Army Special Operations Command (USASOC) Chief Data and Analytics Office (CDAO). This position will provide hands-on technical leadership in designing, developing, integrating, and optimizing data solutions within the Palantir Foundry platform.

The ideal candidate will have deep experience with Palantir Foundry and the ability to translate complex operational requirements into scalable data products, pipelines, and analytical capabilities. This individual will work closely with data engineers, software engineers, data scientists, analysts, mission owners, and government stakeholders to deliver secure, reliable, and mission-focused data solutions.

Location:
Onsite in Fayetteville, NC

This

Job Description reflects the primary duties of the role; however, it is not intended to be all-inclusive. Team members may be asked to take on additional responsibilities in alignment with customer expectations, business needs, and Kentro's culture of collaboration and adaptability.

Responsibilities

• Design, develop, and maintain scalable data pipelines, datasets, and data products within the Palantir Foundry platform.
• Develop and optimize Foundry pipelines using Python, SQL, PySpark, and Foundry-native technologies.
• Build and maintain Foundry data transformations, workflows, datasets, and analytical applications supporting USASOC mission requirements.
• Develop and manage Ontology models that represent operational entities, relationships, actions, and mission data.
• Integrate data from disparate enterprise, operational, and mission systems into Foundry.
• Design data ingestion, transformation, validation, and quality processes to ensure reliable and trusted data products.
• Work with data scientists, analysts, and mission users to operationalize analytical models and workflows within Foundry.
• Develop reusable data products and services that support CDAO analytics and decision-making capabilities.
• Troubleshoot pipeline failures, data quality issues, performance problems, and integration challenges.
• Optimize Foundry pipelines and data products for scalability, reliability, performance, and maintainability.
• Support the development and deployment of Foundry applications and workflows that provide actionable insights to mission stakeholders.
• Apply data governance, access controls, security requirements, and data management practices within the platform.
• Collaborate with cybersecurity and systems engineering teams to ensure data solutions operate within applicable security and authorization requirements.
• Participate in technical design reviews and translate mission requirements into technical implementation plans.
• Document data architectures, pipeline designs, integrations, dependencies, and operational procedures.
• Mentor junior engineers and provide technical guidance on Foundry development, data engineering, and platform best practices.
• Support continuous improvement of CDAO's data engineering architecture, development standards, and engineering practices.
• Participate in Agile development activities, including sprint planning, stand-ups, demonstrations, retrospectives, and backlog refinement.
• Coordinate directly with government technical leads and mission stakeholders to identify requirements, resolve technical issues, and prioritize development efforts.

Qualifications

• Education: Bachelor's degree in Computer Science, Data Science, Computer Engineering, Information Technology, Mathematics, or a related technical field. Equivalent education and experience may be considered in accordance with contract and position requirements.
• Experience: 5+ years of experience…