Data architect senior

Praescient Analytics
Arlington, VA
Location: Arlington, VA
Clearance Required: Active TS/SCI Clearance
Employment Type: Full-Time (W-2 or 1099)

About Praescient Analytics:
Praescient Analytics is a mission-focused technology and analytics company dedicated to delivering innovative solutions that empower decision-makers across the defense, intelligence, and law enforcement communities. We integrate cutting-edge technologies, data-driven methodologies, and technical expertise to address complex operational challenges and enhance our clients' capabilities.

Position Overview:
Praescient Analytics is seeking a Senior Data Architect to lead enterprise data architecture efforts across the Army National Guard (ARNG) Enterprise portfolio. This role is responsible for designing, modernizing, and governing mission-aligned data architectures that support secure software systems, advanced analytics, and enterprise decision-making across cloud, hybrid, and distributed environments.

The ideal candidate brings deep technical expertise, strong domain knowledge of Army enterprise systems, and the ability to translate complex mission requirements into authoritative, compliant, and future-ready data architectures.

Key Responsibilities:

  • Develop and maintain enterprise data architectures, logical and physical data models, and integration strategies supporting ARNG mission systems and analytics platforms.
  • Design and manage enterprise data structures, schemas, data dictionaries, metadata repositories, and authoritative data sources.
  • Lead data modernization initiatives that transition systems from “as-is” to “to-be” architectures across cloud, hybrid, and distributed environments.
  • Drive architecture development aligned with Agile, DevSecOps, PDLC, SDLC, and applicable DoD and Army standards.
  • Oversee data engineering activities, automated information exchanges, database modernization efforts, and enterprise data quality, cleansing, and validation initiatives.
  • Establish and manage end-to-end data lifecycle processes, including ingestion, transformation, storage, governance, and retirement.
  • Support ERP modernization and transitions, integrating data architectures across enterprise business and operational systems.
  • Apply domain expertise across Army Force Management, PPBE, GFM-DI, and enterprise modeling and simulation initiatives.
  • Lead enterprise data governance, compliance, and cybersecurity alignment, incorporating RMF requirements, DoDAF standards, STIG/CVM guidance, and auditability artifacts.
  • Design secure data integration patterns, cross-domain synchronization approaches, and enterprise-wide performance, cost, schedule, and quality metrics.
  • Direct development of data feeds, correlation logic, and information exchange services supporting SOC, CIRT, threat intelligence, vulnerability management, and defensive cyber operations.
Required Qualifications:

  • Minimum 10 years of experience in enterprise data architecture, data engineering, or large-scale data systems.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Active TS/SCI clearance (required)
  • Demonstrated experience designing and modernizing enterprise data architectures in DoD or federal environments.
  • Strong understanding of Agile, DevSecOps, SDLC/PDLC methodologies.
  • Experience with cloud and hybrid architectures (e.g., AWS, Azure, or equivalent government cloud environments).
  • Working knowledge of RMF, DoDAF, STIGs, CVM, and DoD cybersecurity and compliance requirements.
  • Experience supporting secure data integration, cross-domain solutions, and enterprise governance frameworks.
Preferred Qualifications:

  • Experience supporting ARNG, Army G-6, or other Army enterprise organizations.
  • Familiarity with ERP systems, Force Management, PPBE, or GFM-DI data environments.
  • Experience supporting SOC, CIRT, or cyber defense data architectures.
What you can expect from us:

  • Real opportunity for career growth in an environment where your achievements will be celebrated.
  • Constant collaboration with numerous teams to ensure client success.
  • A team that respects and embraces your ideas and expertise.
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain.
  • A workplace dedicated to supporting and improving public safety and government agencies.
Benefits:

  • Very competitive salary based on qualifications and experience.
  • Comprehensive, Company paid Aetna Health Care Medical for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program
Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.

Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to [email protected] and please visit our website to apply online at
Posted 2026-03-03

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