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Cloud Data Architect
General Dynamics Information Technology. Design and support the architecture of a program-wide data warehouse .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and supporting scalable data warehouse architectures, with a strong focus on healthcare data integration and compliance with HIPAA governance. Proficient in utilizing cloud data engineering tools and methodologies to enhance data processing and analytics capabilities.
Highest-signal resume keywords
Data Warehouse Architecture DesignSnowflake Healthcare Data WarehouseData Modeling and StructuresHIPAA Governance ComplianceAgile/Scrum Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Warehouse DesignData ModelingCloud Data EngineeringCI/CD PipelinesAutomation TestingData ProtectionHealthcare Claims DataHadoopEMRDatabricks
Soft Skills
Strong CommunicationTeamworkOwnership and AccountabilityQuick Learning
Tools & Technologies
SnowflakeGitHubBitbucketCodeCommitJiraConfluence
Industry Keywords
Healthcare Data DomainsFWA AnalyticsX12ICD-10CPT/HCPCSNDCDRGHL7FHIRRBAC/ABAC
Tech Stack
Tools & technologiesAmazon RedshiftCloudHadoop
About the role
Key responsibilities & 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 unit, validation, and regression testing
- Ensure 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 across landing, transformed, standardized, curated, and analytics layers
- Model and integrate healthcare data domains using X12, ICD-10, CPT/HCPCS, NDC, DRG, HL7, and FHIR
- Build data structures and features supporting fraud, waste, and abuse 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, 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
- Support the Centers for Medicare and Medicaid Services mission by helping combat healthcare fraud, waste, and abuse
- Travel less than 10%
Requirements
What you’ll need- Bachelor of Arts/Bachelor of Science
- 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 such as Bitbucket, CodeCommit, and 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
- 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
- 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 healthcare data domains including medical and pharmacy claims, eligibility and enrollment, provider, member/patient, encounters, authorization, and payment data
- US citizenship is not required
- Clearance is not required
Benefits
Comp & perks- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay
- Paid time off
- Full-flex work weeks
- AI-powered career tool identifying career steps and learning opportunities
- Internal mobility team supporting career goals
- Medical plan options, including plans with Health Savings Accounts
- Dental plan options
- Vision plan options
- Vacation, sick, personal, holiday, paid parental, military, bereavement, and jury duty leave
- Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
- Short- and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Personal accident insurance
- Critical illness insurance
- Business travel and accident insurance
- Award-winning culture of innovation
- Military-friendly workplace