Data Architect

AGR LLCArlington, VA
19hHybrid

About The Position

Since 1958, DARPA has made pivotal investments in breakthrough technologies for national security. As the world changes dramatically – and even the pace of change itself increases – the agency seeks to engage the best minds and best ideas across specialties, communities, and disciplines to solve the greatest national security challenges on the horizon. DARPA brings together scientists, engineers, and tinkerers across the innovation ecosystem to push the bounds of technological possibility. The work we do is challenging by nature, but working with DARPA doesn’t have to be. To make it happen, DARPA's program managers need highly skilled support contractors, broadly referred to as SETAs (Scientific Engineering and Technical Assistance) within DARPA. Often spanning programs, portfolios, and even offices in their impact, the SETAs help program managers chart and navigate the path toward groundbreaking discoveries. For the fortunate few who become part of the DARPA legacy, a time bound journey with the organization represents a unique and singular opportunity to alter the future. At DARPA, every day is a chance to make history. A chance to explore, discover, and invent. A chance to collaborate with pioneers in science and engineering contributing to an enduring mission. Mission Summary This Data Architect role provides principal-level advisory and thought leadership to senior DARPA executives, including the Chief Information Security Officer (CISO) and senior ITD Staff. As a Data Architect, you will be a key strategic resource, shaping the agency's approach to cybersecurity across its most advanced and sensitive technology portfolios. Twenty8Tech (A Redhawk Company) has an immediate opening for a hybrid (telework/office) distinguished expert with extensive, deep experience in Data Architecture. You will operate with a high degree of autonomy to provide strategic foresight, critical technical analysis, and authoritative guidance, ensuring that security is an enabler of innovation for DARPA's high-risk, high-reward programs. The Data Architect is responsible for designing, developing, and managing enterprise data architecture to support strategic research, operations, analytics, and mission-critical decision-making. This role ensures that data systems are secure, scalable, interoperable, and aligned with national security objectives.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
  • 8+ years of experience in data architecture, data engineering, or enterprise systems design
  • Experience working in defense, intelligence, or other high-security environments
  • Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms
  • Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.)
  • Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF)
  • Active security clearance (e.g., Secret or Top Secret) or ability to obtain one

Nice To Haves

  • Experience with big data technologies (Hadoop, Spark, Kafka)
  • Background in AI/ML data pipelines and analytics infrastructure
  • Familiarity with geospatial, signals, or intelligence data systems
  • Certifications in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP)
  • Experience with high performance computing (HPC)
  • Active TS/SCI clearance

Responsibilities

  • Design and implement enterprise-level data architecture frameworks across defense systems and platforms
  • Develop data models, standards, and governance policies to ensure consistency, quality, and integrity
  • Integrate data from multiple classified and unclassified sources to support operational readiness and analysis
  • Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations
  • Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications
  • Establish metadata management, data lineage, and master data management practices
  • Optimize data storage, retrieval, and processing for high-performance environments
  • Lead data architecture reviews and provide technical guidance to engineering and analytics teams
  • Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements)
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