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General Dynamics Information Technology

Cloud Data Architect

General Dynamics Information Technology

. Design and support the architecture of a program-wide data warehouse .

Posted 9/17/2026full-timeRemote • United StatesSeniorLead💰 $140,250 - $189,750 per yearWebsite

Core Competencies

Role fit
Core Competencies

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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

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Applicant Tracking System Keywords

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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 & technologies
Amazon 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