Senior Data Architect
LeidosAlexandria, Virginia, United States • Gaithersburg, Maryland, United States
Posted March 25, 2026
92300 - 92300 USD
Full Time
About the Company
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health. The company's global workforce of 48,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. Leidos was cited for the meaningful work employees perform that is challenging, impactful, and aligned with our customers’ missions as reasons professionals want to work and stay at our company. Leidos has also been named to lists including Forbes’ Best Employers for Diversity, Forbes’ America’s Best Employers for Women, Military Times Best for Vets Employers, and Ethisphere Institute’s World's Most Ethical Companies®. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Employees appreciate our flexible work environment, allowing for and encouraging a true work-life balance. Our professionals are also excited about our Employee Resource Groups, like the Collaborative Outreach with Remote and Embedded Employees (CORE), which strives to create an environment where every employee, regardless of location, feels fully engaged as a valued employee of Leidos. Your most important work is ahead, visit careers.leidos.com for our latest opportunities.
Job Description
This is a Senior Data Architect position that delivers mission-critical capabilities for the Department of War enterprise data and analytics program. The ideal candidate is experienced in designing and implementing data governance frameworks and has strong leadership and communication skills.
Requirements
- Active Top Secret (TS) clearance with SCI eligibility
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 8–12 years of relevant experience
- Minimum of 8 years of experience in data architecture, engineering, or related roles
- Proven experience in designing and implementing data governance frameworks
- Experience designing enterprise-scale data architectures in cloud environments (e.g., AWS, Azure, or GCP)
- Experience designing and implementing data ingestion, transformation, storage, and analytics frameworks
- Experience defining enterprise data models, metadata strategies, and lineage documentation
- Experience integrating data architectures with DevSecOps pipelines and CI/CD processes
- Experience with data pipeline development and data quality monitoring
- Strong understanding of data management principles and best practices
- Strong leadership and communication skills
- Experience in customer support and engagement initiatives