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 healthc