As Sr. Data Architect III, you’ll lead secure, scalable data architecture for enterprise security platforms in classified, enclave-based environments. The role designs data pipelines, storage, and governance to support large-scale security analytics while ensuring compliance and data integrity. The ideal candidate translates complex TS/SCI security requirements into resilient, compliant data architectures.

Working closely with cybersecurity and analytics teams, the architect oversees data migrations, establishes governance and metadata standards, and ensures data integrity, accessibility, and compliance with security policies. The ideal candidate brings deep expertise in data modeling, hybrid data environments, and secure data management, with experience translating complex security requirements into resilient, compliant data architectures within TS/SCI environments.

We know that you can’t have great technology services without amazing people. Here, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Define data architecture strategy for security platforms within a dedicated enclave 
• Design data pipelines, storage solutions, and data lifecycle management processes 
• Oversee migration of large-scale security data into new environments
• Establish data governance, taxonomy, and metadata standards 
• Ensure data accessibility, integrity, and compliance with security policies 
• Collaborate with analytics and cybersecurity teams to enable advanced threat detection

What you’ll need to succeed:

• Active TS/SCI clearance
• 10 years of total experience, with 6–8 years specifically in data architecture / data engineering, including experience in secure environments.
• Strong experience in data architecture and data modeling
• Experience designing large-scale data ingestion and processing systems
• Knowledge of structured and unstructured data management
• Familiarity with data governance, lineage, and quality frameworks
• Experience with hybrid data environments (on-prem + cloud)
• Understanding of security and compliance requirements for sensitive data