Data Architect

This role focuses on establishing strong data interfaces and interconnectivity of our integrated JOMIS product ecosystem. The data architect will help to build a strong data foundation that supports operational medicine, reporting, analytics, and future AI capabilities. The Data Architect works closely with product teams, engineers, program leadership, and cybersecurity partners to ensure data is accurate, traceable, secure, and usable across systems. This role helps define how data moves through the JOMIS environment and ensures teams are aligned on standards and expectations. Job Responsibilities Define and maintain JOMIS data architecture standards, including data domains, naming conventions, and logical data models Document end-to-end data flows, including sources, transformations, storage, and downstream use Design and guide data integration approaches that support operational medicine workflows and reporting needs Establish and maintain data governance practices focused on quality, consistency, and traceability Ensure proper handling of sensitive data, including PHI and PII, in coordination with cybersecurity and compliance teams Define data structures and mappings that support interoperability across JOMIS systems and external partners Support analytics and reporting use cases by ensuring data is structured, complete, and reliable Enable future advanced analytics and AI use cases by improving data readiness and availability Create and maintain architecture artifacts such as data flow diagrams, logical data models, and dependency maps Partner with product owners, engineers, and other vendor partners to translate operational needs into clear data requirements Capture and track data integration efforts in Jira across multiple products Brief program leadership on data risks, gaps, and overall readiness as JOMIS capabilities evolve Job Requirements Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related field, or equivalent experience 7+ years of experience in data architecture, data engineering, or enterprise data environments Strong understanding of data modeling, data integration, and data governance principles Experience working with complex systems in regulated or federal environments Familiarity with managing sensitive data, including privacy controls, access restrictions, and audit requirements Ability to clearly document technical concepts for both technical and non-technical audiences Experience working in Agile or iterative delivery environments Active Secret clearance preferred, or ability to obtain one Operational Medicine or healthcare data expertise preferred, but not required Strong analytical thinking and attention to detail Ability to connect mission needs to practical data design decisions Comfortable working across multiple teams and vendors Clear written and verbal communication skills Ability to work independently while coordinating with a broader architecture team Strong organization and time management skills Able to manage competing priorities in a fast-paced environment Professional judgment when handling sensitive information Collaborative mindset and strong stakeholder engagement skills Questions? Email our team: View email address on click.appcast.io Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Business Consulting and Services #J-18808-Ljbffr Mulu