Job Requirements
Washington, DC
Secret Polygraph None
Career Level not specified
Salary not specified
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Job Description
Company: Top tier for to the DOD
Position: Data Architect
Location: REMOTE!
Clearance: Active secret or above.
NEW MULTI-YEAR CONTRACT
comprehensive helaht care, 401k etc benfits package
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.
Required Qualifications:
• 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.
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.
Position: Data Architect
Location: REMOTE!
Clearance: Active secret or above.
NEW MULTI-YEAR CONTRACT
comprehensive helaht care, 401k etc benfits package
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.
Required Qualifications:
• 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.
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.
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