SME Data Architect - 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 a SME Data Architect to support a Department of Defense Chief Digital and Artificial Intelligence Office (CDAO) data and analytics initiative leveraging the Palantir Foundry platform. The Data Architect will provide senior‑level technical leadership in the design, development, integration, and governance of enterprise data architectures that enable advanced analytics, artificial intelligence, machine learning, and operational decision‑making.

The ideal candidate possesses deep expertise in enterprise data architecture and hands‑on experience with Palantir Foundry, including data integration, data modeling, ontology development, data pipelines, and governance. This individual will work closely with government stakeholders, data engineers, software engineers, data scientists, and mission partners to translate complex operational requirements into scalable and secure 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.

• Serve as a senior technical authority and Subject Matter Expert (SME) for enterprise data architecture supporting CDAO mission objectives.
• Design and implement scalable, secure, and interoperable data architectures supporting analytics, AI/ML, and operational use cases.
• Develop and maintain enterprise data models, data flows, schemas, data products, and architectural standards.
• Design and implement data solutions within Palantir Foundry, including data pipelines, datasets, transformations, and Ontology‑based data models.
• Develop and maintain Palantir Ontology structures that accurately represent mission‑relevant entities, relationships, actions, and business processes.
• Integrate data from diverse structured and unstructured sources across enterprise, cloud, and operational environments.
• Define data ingestion, transformation, integration, storage, and distribution patterns.
• Evaluate existing data architectures and identify opportunities to improve scalability, performance, interoperability, data quality, and accessibility.
• Establish and enforce data architecture principles, standards, patterns, and best practices.
• Collaborate with data engineers and software developers to ensure architecture is translated effectively into production solutions.
• Partner with data scientists and AI/ML teams to ensure data architectures support model development, experimentation, deployment, and operationalization.
• Support development of data products that provide trusted, reusable, and discoverable data to mission users and applications.
• Develop strategies for data governance, lineage, metadata management, quality, security, and access control.
• Ensure data solutions align with DoD cybersecurity, security classification, data governance, and enterprise architecture requirements.
• Support integration of data across multiple organizations, mission systems, and security domains.
• Translate complex technical and mission requirements into practical architectural solutions and…