Enterprise Data Architect

Leidos is   seeking   an   Enterprise Data Architect to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP). L-CAP is a mission-critical, future-ready automation platform built on a hybrid cloud data mesh architecture, enabling next-generation air traffic management capabilities. You will lead enterprise data architecture for a hybrid cloud data mesh platform supporting real-time air traffic management and next-generation aviation services. We are building with an AI-first engineering mindset, embracing emerging AI capabilities and modern development practices to accelerate delivery, improve software quality, and continuously evolve how we design and build mission-critical systems. This position supports government programs and requires the ability to obtain and   maintain   a favorable Public Trust investigation.   This role is part of a growing program, and hiring will depend on available funding. We review applications on a rolling basis, but the timeline for interviews and offers may vary. In some cases, we may extend  contingent offers  that become active once funding is confirmed.  This position is located in  Gaithersburg, MD; Egg Harbor Township, NJ; or Eagan, MN . This is an opportunity to contribute to projects that impact millions of air travelers.  This is a hybrid position requiring 3 days onsite and 2 days remote work.  Candidates should reside a commutable distance to one of the above locations.

Define the data mesh architecture including domain boundaries and data products   Establish the enterprise data governance framework and standards   Design real-time streaming data pipelines for operational aviation data   Architect event-driven data integration patterns across platform services   Define data product standards including contracts, quality, and discoverability   Develop the data integration strategy across legacy and modern systems   Plan and oversee legacy data migration to the new platform architecture   Establish data quality standards, monitoring, and remediation processes   Coordinate cross-ART data architecture decisions and dependencies   Implement metadata management and data cataloging solutions   Define data architecture for operational ATC data including real-time processing pipelines and low-latency data access patterns   Establish schema governance and data contract management ensuring interoperability across modernized and legacy services   Design latency management strategies for time-critical ATC data flows supporting real-time operational decisions   Implement data lineage tracking providing traceability from source operational systems through processing to consumption   Champion an AI-first engineering culture by   identifying   and applying AI-assisted development capabilities, automation, and emerging software engineering practices that improve developer productivity, code quality, testing, and delivery.   Core Technical Qualifications:   Bachelor's degree with 12+ years of relevant data architecture experience  or 10+ years with a Master's degree or equivalent experience. Enterprise data architecture leadership for large-scale platforms   Data mesh architecture design and implementation experience   Data governance framework development and enforcement   Event streaming   expertise   (Apache Kafka or equivalent) at scale   Real-time data pipeline design for mission-critical applications   Expertise   across SQL and NoSQL database technologies   Distributed data systems architecture and performance optimization   Advanced data modeling for complex operational domains   Ability to obtain and   maintain   a Public Trust clearance; US citizenship   required ; subject to government background investigation   Experience with real-time data processing architectures and low-latency streaming systems   Knowledge of operational data