Cloud Data Architect

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Cloud Data Architecture, Database Design, Data Model Design, Data Warehouse Architecture Certifications: None Experience: 8 + years of related experience US Citizenship Required: No Job Description: Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Architect Principal at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. As a Data Architect Principal, the work you’ll do at GDIT will be impactful to the mission of the Centers for Medicare and Medicaid Services (CMS). You will play a crucial role in helping combat fraud, waste and abuse in healthcare. This role combines a strong cloud-data engineering skillset with a complement of healthcare interoperability, privacy, and governance requirements. HOW A DATA ARCHITECT PRINCIPAL WILL MAKE AN IMPACT: Design and support the architecture of a program‑wide data warehouse. Lead data warehouse project work to ensure requirements, timelines, and deliverables are met. Perform testing (unit, validation, regression etc.) and ensure all delivered code meets user specifications. Provide technical architecture expertise for planning, estimation, and solution design. Work across teams and stakeholders to define requirements and validate testing processes. Design scalable, multi‑layer warehouse patterns (landing, transformed, standardized, curated, analytics). Model and integrate healthcare data domains using industry standards (X12, ICD‑10, CPT/HCPCS, NDC, DRG, HL7, FHIR). Build data structures and features that support FWA analytics with full data lineage. Implement HIPAA-compliant governance for PHI/PII, including RBAC/ABAC, masking, row-level security, tagging, auditing, and lineage tracking. Contribute to System Design Documents (SDDs), data dictionaries, and source-to-target mappings. Architect normalized and denormalized data solutions using design best practices. Design and develop scheduling workflows and automation processes. Support continuous improvement of processes, tools, and engineering approaches. WHAT YOU’LL NEED TO SUCCEED: Education: Bachelor of Arts/Bachelor of Science Experience: 8+ years of related experience. Demonstrated experience designing scalable Data Warehouse environments Strong understanding of data structures and data modeling. Knowledge of Kimball and Inmon data‑warehousing methodologies. Proficiency with Snowflake healthcare data warehouse architecture. Cloud data engineering experience with Snowflake. Experience with data protection, least-privilege access, role- and attribute-based access controls, encryption, audit logging, secure data sharing, retention, and incident-response support. Experience with Git-based repositories (Bitbucket, CodeCommit, GitHub). Hands-on experience with CI/CD pipelines across dev/test/prod. Experience with cloud data processing services. Understanding of serverless architecture. Experience with automation testing. Strong communication and teamwork skills. Ability to take ownership and accountability. Demonstrated ability to quickly learn new technologies. Experience working in Agile/Scrum environments using Jira and Confluence. DESIRED SKILLS AND ABILITIES: Experience with healthcare claims data. Experience with Hadoop, EMR, Redshift, and Databricks. Experience building FWA analytics (anomaly detection, billing-pattern analysis, payment-integrity rules). Knowledge of HIPAA governance frameworks for PHI/PII. Familiarity with machine-learning and AI concepts. Experience designing investigator-ready datasets with full traceability. Working knowledge of common healthcare data domains: medical and pharmacy claims, eligibility and enrollment, provider, member/patient, encounters, authorization, and payment data. GDIT IS YOUR PLACE: At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities. Support: An internal mobility team focused on helping you achieve your career goals. Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off. Flexibility: Full-flex work week to own your priorities at work and at home. Community: Award-winning culture of innovation and a military-friendly workplace. OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $140,250 - $189,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% T elecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vac