War Data Platform Foundry Data Architect & Analyst

War Data Platform / Palantir Foundry Data Architect & Analyst

Kalman & Company is seeking a highly motivated data architect and analyst with deep expertise in War Data Platform (WDP) Palantir Foundry and modern data engineering practices to support our Federal and DoW clients. Successful candidates will have strong communication skills advanced analytical and data modeling capabilities and the ability to lead several of the largest and most technically complex data initiatives in Kalmans portfolio.
As part of the Business Analytics team you will help our Government clients modernize data pipelines enhance data readiness and build mission-critical analytics that improve decision-making across the DoW. This will be a mostly offsite position with meeting attendance required occasionally in Stafford VA. The salary range is $160K/yr-195K/yr.

A career with Kalman & Company is both rewarding and challenging. Our clients require skilled innovative and mission-driven professionals who thrive in dynamic fast-paced environments. As a Kalman Data Architect/Analyst you will collaborate with military leaders engineers developers logistics experts and financial analysts to design optimize and govern data ecosystems that support the United States DoW and its allies.

Benefits:

• Work with industry-leading data platforms including WDP Palantir Foundry and cloud-native analytic tools
• Solve some of the governments most challenging data integration and readiness problems
• Flexible hybrid work environments with opportunities for both in-person and remote collaboration
• A supportive inclusive team culture with opportunities for hands-on training professional development and cross-domain learning
• Competitive salary and benefits package

Duties/Responsibilities:

• Support/lead the architecture design and implementation of data pipelines data models and analytic workflows within War Data Platform and/or Palantir Foundry
• Develop scalable secure and production-grade data integration solutions for structured and unstructured DoW datasets
• Create ontology-driven data models object schemas and operational data transformations aligned with DoW mission requirements
• Design build and maintain end-to-end ETL pipelines that ingest raw data sources into Databricks orchestrate transformations across cluster environments and deliver validated analytics-ready datasets for Foundry WDP and downstream mission applications.
• Collaborate with program managers engineers and analysts to understand data requirements discover data sources and implement analytic solutions at scale
• Provide authoritative thought leadership on DoW data fabrics data readiness and modern data engineering best practices
• Produce clear documentation data dictionaries and briefing materials that communicate complex data architectures and analytic insights

Required Education/Qualifications:

• US Citizenship
• Active Secret Security Clearance.
• Strong understanding of DoW systems acquisition data logistics data financial data or operational data environments
• Bachelors degree in Data Science Computer Science Engineering Mathematics Information Systems or related field
• 5 years of experience in data engineering data architecture or advanced analytics
• 2 years of hands-on experience with Palantir Foundry WDP Maven Data Platform or similar government data fabrics
• Demonstrated experience designing and deploying data pipelines ontology-based models and enterprise data workflows
• Excellent oral and written communication skills
• Ability to work autonomously and manage multiple technical tasks under minimal supervision

Kalman & Company Inc. maintains a drug-free workplace and performs pre-employment and random substance abuse testing and background verification checks.

Preferred Qualifications:

• Experience with cloud technologies
• Familiarity with data governance frameworks metadata management and master data strategies
• Experience building dashboards and user-facing analytics tools (Foundry UI Tableau Power BI etc.)
• Hands-on experience integrating data for AI/ML systems or RAG/LLM pipelines
• Experience supporting cost estimating operations research or acquisition programs

Required Experience:

IC