About The Position

We are seeking a highly skilled Subject Matter Expert (SME) – Data Architect to support critical government and intelligence initiatives through the design, development, and modernization of enterprise data environments. This role focuses on building scalable, secure, and compliant data architectures that enable advanced analytics, machine learning, and mission-driven decision-making across multi-cloud ecosystems. If you excel at enterprise data strategy, emerging technologies, and solving complex data challenges in high-security environments, this opportunity is for you. The SME – Data Architect provides deep expertise in enterprise data architecture, data governance, cloud-based data solutions, and modern analytics frameworks. This role is responsible for designing and implementing scalable enterprise data environments while ensuring data quality, accessibility, security, and compliance with organizational and mission requirements. The ideal candidate will support enterprise modernization initiatives leveraging emerging technologies such as machine learning, advanced analytics, and data mesh architectures.

Requirements

  • TS/SCI clearance with polygraph required, including additional security screenings
  • Entry Level: HS/GED + 6 years experience, Associate's + 4 years experience, Bachelor's + 2 years experience, Master's degree (experience may be substituted as appropriate)
  • Journeyman Level: HS/GED + 8 years experience, Associate's + 6 years experience, Bachelor's + 4 years experience, Master's + 2 years experience
  • Senior Level: HS/GED + 10 years experience, Associate's + 8 years experience, Bachelor's + 6 years experience, Master's + 4 years experience, PhD + 2 years experience
  • Expert / Master Level: HS/GED + 12 years experience, Associate's + 10 years experience, Bachelor's + 8 years experience, Master's + 6 years experience, PhD + 4 years experience

Responsibilities

  • Develop and maintain enterprise data architectures ensuring data quality, security, and compliance.
  • Design and implement cloud-based data storage and analytics solutions across multi-cloud environments.
  • Support enterprise data integration, governance, and modernization initiatives.
  • Apply emerging technologies including advanced analytics, machine learning, and data mesh architectures.
  • Produce technical documentation and communicate complex data solutions to stakeholders.
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