Cloud Data Architect
Quick Summary
Education: Bachelor of Arts/Bachelor of Science Experience: 8+ years of related experience.
Skills:Cloud Data Architecture, Database Design, Data Model Design,
Clearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NoneJob Family:
Data Science and Data EngineeringRequirements
~1 min readJob 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.
- 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.
- 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.
- 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.
What We Offer
~1 min readWork Location:
Any Location / RemoteAdditional Work Locations:
Location & Eligibility
About this job
- Posted
- 36 days ago
Listing Details
- Posted
- September 17, 2026
- First seen
- October 1, 2026
- Last seen
- October 23, 2026
Posting Health
- Days active
- 22
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- October 24, 2026
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