Senior Data Architect - Army Vantage/Palantir Foundry

About this role

Job Title: Senior Data Architect - Army Vantage/Palantir Foundry

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

The Opportunity:

CACI's Agile Solution Factory (ASF) is hiring a Senior Data Architect with Army Vantage and Palantir Foundry experience to lead enterprise data architecture, data engineering, analytics, and application development for a key Department of Defense program. The selected candidate will be a hands-on technical leader responsible for solutions spanning data ingestion, transformation, dimensional and semantic modeling, Foundry Ontology, Workshop applications, governance, and production delivery. The ability to translate mission needs into sound architecture while leading a technically diverse and geographically distributed engineering team is essential. This position is a high visibility position within the team with frequent interaction with the client working on critical applications.  Your customer service, teaming, and collaboration skills will enable improved data design within the cross-functional team.

More About the Role

As a senior member of an Agile/Scrumban team, you will work with government stakeholders, functional experts, product managers, data owners, and engineers to identify authoritative sources, refine requirements, define business logic, and deliver governed data products. You will establish technical direction, remain hands-on with critical components, guide developers, and present solutions to senior government and military stakeholders.

Responsibilities: • Own the end-to-end architecture and hands-on implementation of enterprise data, analytics, and applications in Army Vantage/Palantir Foundry.

• Design and implement conceptual, logical, and physical data models using Kimball dimensional modeling, Databricks Lakehouse/Medallion patterns, semantic layers, and Foundry Ontology.

• Design, implement, test, deploy, and maintain scalable ETL/ELT pipelines and governed raw, clean, and curated data layers using Python, PySpark, Spark SQL, Foundry Code Repositories, Pipeline Builder, Databricks, and Delta Lake.

• Design and implement Foundry Ontologies containing governed objects, links, Actions, Functions, KPIs, and access controls.

• Design and build production Workshop applications, JavaScript and TypeScript Functions, custom widgets, and OSDK integrations.

• Develop, refine, and maintain data cleansing pipelines in Palantir Foundry, ensuring authoritative, accurate, and standardized data is delivered across raw, clean, and curated layers.

• Implement robust validation, de-duplication, formatting, and business rule enforcement within Foundry Code Repositories, Pipeline Builder, and Ontology Actions to guarantee high-quality, governed data ready for downstream analytics and applications.

• Implement document-processing pipelines, tool orchestration, evaluations, audit logging, data-freshness indicators, and controls against unsupported or unauthorized responses.

• Lead team’s engineers while personally developing critical components, reviewing code, resolving technical blockers, and maintaining architectural alignment.

Qualifications: Required: • Must be a U.S. Citizen, with an active secret DoD security clearance (ability to attain interim will be considered).

• College degree (B.S., M.S.) in Information Assurance, Computer Science, Management Information Systems, or a related discipline.   Experience will be considered in lieu of education.

• Minimum of 7 years of related experience in data architecture, data engineering, software engineering, analytics, or AI/ML.

• Demonstrated experience as a hands-on architect or technical lead who has personally designed, implemented, deployed, and supported production enterprise data and AI systems.

• Strong communication skills and the ability to operate independently and collaboratively in a fast-paced DoD environment.

• Experience implementing Databricks Lakehouse and Medallion architectures using Apache Spark and Delta Lake, including incremental and historical processing.

• Advanced Kimball dimensional-modeling experience, including declaration of grain, fact and dimension design, conformed dimensions, slowly changing dimensions, and enterprise bus architecture. 

• Advanced proficiency in data governance practices, including schema evolution, metadata management, cataloging, and automated data-quality enforcement using tools like Collibra, Amundsen, Purview, or Foundry governance features.

• Advanced Python, PySpark, Spark SQL, and SQL development experience.

• Expert production experience with Army Vantage or Palantir Foundry, including pipelines, Ontology, Workshop, and platform governance.

• Experience developing large-scale pipelines, governed semantic layers, data-quality controls, lineage, and production monitoring.

• Experience integrating sources such as enterprise databases and APIs. 

• Experience translating customer requirements and business rules into architecture and executable development work.

• Experience leading developers, reviewing code and architecture, establishing standards, and briefing customers.

Desired: • Proficiency with JavaScript and TypeScript for Foundry Functions, custom Workshop development, or OSDK applications.

• Experience integrating sources such as SharePoint, Dataverse, Microsoft Lists, Office files, and scanned policy documents.

• Experience with Palantir AIP, Agent Studio, AIP Logic, OSDK, AI Flow, or Model Context Protocol.

• Experience with React and custom Foundry/Workshop user-interface development.

• Experience integrating Army Vantage, ADVANA, A365, or other DoD enterprise platforms.

• Experience with Army personnel, readiness, logistics, finance, force-structure, or policy data.

• Experience developing decision-support, optimization, simulation, forecasting, or recommendat

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