Data Architect

Posted 6 Hours Ago
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Aberdeen Proving Ground, MD, USA
In-Office
Senior level
Security
The Role
Designs and governs enterprise data architecture for a defense intelligence platform operating across cloud, tactical edge, classified, and DDIL environments. Responsibilities include developing data models, ontologies, exchange standards, and synchronization strategies; validating data services and pipelines; ensuring security and interoperability; advising government and vendor stakeholders; and leading architecture reviews, working groups, and agile development activities.
Summary Generated by Built In

SAIC is seeking an experienced Data Architect to support a mission-critical modernization program delivering a modular, adaptable software suite of essential capabilities across multiple warfighting functions. In this role, you will serve as the technical authority responsible for designing, governing, and optimizing the data architecture that underpins a modern, open-architecture intelligence platform spanning enterprise cloud and tactical edge environments.
This position operates across cloud and tactical edge environments, supporting data architecture design, implementation, and validation across the full software development lifecycle — from initial concept through fielding — in both garrison and deployed settings, including Denied, Degraded, Intermittent, and Low Bandwidth (DDIL) environments.

The work is to be performed at the customer site at Aberdeen Proving Ground (APG), MD.

This role is contingent upon award news in Fall 2026.

Key Responsibilities:
 

  • Design and govern enterprise-scale data architectures that support modular, scalable, and resilient data management across cloud and tactical edge environments within an open-architecture framework
  • Develop and maintain common data layer standards, data models, ontologies, and data exchange specifications that enable seamless bi-directional data sharing across multiple security domains and third-party systems
  • Serve as the primary technical authority on data architecture, advising Government stakeholders, vendors, and development teams to ensure data requirements are accurately captured, communicated, traceable, and verifiable throughout the program lifecycle
  • Evaluate and validate platform data capabilities including data onboarding and normalization, object databases, credential authority, data logging and alerting, retrieval and display, and correlation and combination services
  • Support design and validation of tactical edge data configurations, ensuring data architecture approaches account for operations in DDIL environments 
  • Participate in product demonstrations, design reviews, and agile development cycles, providing rapid technical assessment of data architecture compliance against documented requirements and operational needs
  • Collaborate with vendors, partners, integration SMEs, and Government stakeholders to identify and resolve data architecture risks, dependencies, and technical gaps throughout the program lifecycle
Qualifications

Required Clearance:

  • Active Secret clearance required
  • TS/SCI Preferred

Required Education:

  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Systems Engineering, or a related technical discipline
  • Or Master's Degree preferred in Data Science, Computer Science, Information Architecture, or a related technical field

Required Experience:

  • Eight (8+) years of progressive experience in data architecture, data engineering, or a closely related field, with a minimum of three (3) years supporting defense, military, or interagency programs at the operational or acquisition level
  • Demonstrated experience designing and implementing enterprise-scale data architectures across multi-vendor, multi-domain environments, with proficiency in data modeling, ontology development, and data exchange standards including structured and unstructured data formats
  • Experience working within agile development frameworks such as SAFe, Scrum, or Kanban, with working knowledge of DevSecOps pipelines, CI/CD toolchains, and automated data testing and validation methodologies
  • Familiarity with Zero Trust architecture, data security frameworks, data governance principles, and the unique data management requirements of classified and multi-domain network environments
  • Experience designing data solutions for cloud-based and tactical edge platforms, including the ability to architect and validate data pipelines and synchronization strategies that perform under DDIL conditions and constrained hardware environments
  • Background in Model-Based Systems Engineering (MBSE) principles, open-architecture frameworks, and familiarity with military data standards, symbology, and interoperability protocols such as MIL-STD 2525
  • Demonstrated ability to lead data architecture working groups, brief senior military, civilian, and interagency audiences, and drive technical consensus across multi-vendor and multi-functional teams in fast-paced, dynamic environments
About UsSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Skills Required

  • Active Secret security clearance
  • TS/SCI security clearance
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, Systems Engineering, or a related technical discipline; alternatively, a preferred master’s degree in Data Science, Computer Science, Information Architecture, or a related technical field
  • Eight or more years of progressive experience in data architecture, data engineering, or a closely related field
  • At least three years supporting defense, military, or interagency programs at the operational or acquisition level
  • Experience designing and implementing enterprise-scale data architectures across multi-vendor, multi-domain environments
  • Proficiency in data modeling, ontology development, and data exchange standards for structured and unstructured data
  • Experience with agile frameworks such as SAFe, Scrum, or Kanban
  • Working knowledge of DevSecOps pipelines, CI/CD toolchains, and automated data testing and validation
  • Familiarity with Zero Trust architecture, data security frameworks, data governance, and classified multi-domain network environments
  • Experience designing cloud-based and tactical edge data solutions, including pipelines and synchronization strategies for DDIL conditions and constrained hardware
  • Background in Model-Based Systems Engineering principles and open-architecture frameworks
  • Familiarity with military data standards, symbology, and interoperability protocols such as MIL-STD-2525
  • Ability to lead data architecture working groups, brief senior military, civilian, and interagency audiences, and drive technical consensus
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The Company
HQ: Stamford, CT
34,000 Employees

What We Do

Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.

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