Data Architect, Baltimore

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:
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
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