DEFCON AI
Architecture&DataLead
Neural analysis suggests this role is
optimal for Senior candidates.
“Architecture & Data Lead at DEFCON AI. Skills: Data architecture, System integration, Data modelling. Define integration platform. Develop adapters”
Industry & Context.
Critical thinking
Security clearance
What They're Looking For.
Must Have
5+ years experience, Bachelor's degree
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Define integration platform
Develop common data models
Develop translation layers
Develop synchronization mechanisms
Develop classification-aware data architecture
Design integration platform
Build integration platform
Guide team of engineers
Deliver production-ready integrations
Design bidirectional data layer
Resolve schema mismatches
Resolve vocabulary mismatches
Build production-grade adapters
Validate production-grade adapters
Advance integration concepts
Implement system-level data flows
Test system-level data flows
Verify accuracy of application materials
Verify authenticity of application materials
Cross-reference application information
Identify indicators of fraud
Identify indicators of material misrepresentation
How You'll Work.
Team & Collaboration
Team of engineers; Partners
Full Job Description
ABOUT DEFCON AI RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems. In today’s dynamically changing world, DEFCON AI’s technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions. About the Role This is a rare opportunity to define how data moves across the U. S. military’s logistics ecosystem. As the Architecture and Data Lead, you will own one of the most critical integration challenges in modern DoD software: enabling data to flow reliably across platforms, classification levels, and operational environments — and transforming it into usable, decision-ready information. You will design and build the integration platform that connects DEFCON AI’s software to the broader logistics C2 ecosystem. This includes developing adapters, common data models, translation layers, synchronization mechanisms, and classification-aware data architecture that ensure systems remain coherent from headquarters to the tactical edge. This is a senior role combining deep technical execution and system-level architecture leadership. You will define the architecture, build key components, and guide a team of engineers and partners to deliver production-ready integrations across disconnected environments, varied data models, and multi-enclave deployments. Key Responsibilities Cross-Platform Integration Architecture Design and implement the bidirectional data layer connecting major DoD C2 platforms (Palantir and Anduril) Develop common data models and translation layers to resolve schema and vocabulary mismatches Build and validate production-grade adapters (e.g., Foundry, Lattice) in live government environments Advance integration concepts into fully implemented, tested system-level data flows Data Integration Verifying
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