Senior Cloud Data Architect – Healthcare Analytics

General Dynamics Information Technology, Inc.

Maryland

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

General Dynamics Information Technology, Inc. is seeking a Data Architect Principal to design and govern program-wide data warehouse architectures supporting CMS analytics and healthcare interoperability.

Lead multi‑team data warehouse projects, ensure timeliness and quality, and deliver scalable cloud solutions using Snowflake and related data tooling. This role emphasizes HIPAA governance, data lineage, RBAC/ABAC, and collaboration with stakeholders to turn data into measurable outcomes.

Qualifications

Bachelor’s degree or higher in a related field.
8+ years of related experience.
Experience designing scalable Data Warehouse environments.
Strong understanding of data structures and data modeling.
Knowledge of Kimball and Inmon methodologies.
Proficiency with Snowflake healthcare data warehouse architecture.
Cloud data engineering experience with Snowflake.
Experience with data protection, least-privilege access, RBAC/ABAC, encryption, audit logging, secure data sharing, retention and incident-response support.
Experience with Git-based repositories (Bitbucket, CodeCommit, GitHub).
Hands-on 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 in Agile/Scrum with Jira and Confluence.

Responsibilities

Design and support the architecture of a program-wide data warehouse.
Lead data warehouse projects to meet requirements, timelines and deliverables.
Perform testing (unit, validation, regression) and ensure code meets user specifications.
Provide technical architecture input for planning, estimation and solution design.
Work across teams 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 analytics with full data lineage.
Implement HIPAA-compliant governance for PHI/PII, including RBAC/ABAC, masking and auditing.
Contribute to SDDs, data dictionaries and mappings.
Architect normalized and denormalized data solutions using best practices.
Design scheduling workflows and automation processes.
Support continuous improvement of processes, tools and engineering approaches.