Data Architect

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.

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.

Required Technical Skills:

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 Qualifications:

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 recommendation capabilities.

Experience working with data owners, data stewards, functional experts, and senior military leadership.