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Cloud Architect - Healthcare Data Governance

Accion Labs

hybridarchitectcontractbackendsecurity United States 4 days ago via LinkedIn

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Tags

AzureMicrosoft PurviewData GovernanceData LineageApache AtlasRBACPHI/PII ProtectionHealthcare ComplianceAzure OpenAIDLP

About the role

Cloud Architect — Healthcare Data Governance (Contract)

Direct Client C2C. Remote (travel required for 3 domestic client site visits during tenure; expenses paid). Contract length 4+ months with potential extension.

Responsibilities

  • Design Purview multi-cloud architecture across Azure, AWS, and Snowflake.
  • Create collection hierarchy and implement an RBAC model for domain-based access control.
  • Develop healthcare-compliant taxonomy and classification schemes.
  • Architect AI accelerators using Azure OpenAI for automated metadata tagging and extraction.
  • Design end-to-end data lineage (medallion pattern: Bronze/Silver/Gold).
  • Define and maintain governance policies for privacy, security, and interoperability.
  • Identify compliance risks in data handling and propose mitigation strategies.
  • Lead technical workshops and present architecture to CTO/CDO-level stakeholders.
  • Guide implementation teams (Purview Engineers, AI Engineers, Security Lead) on complex integrations.

Requirements (Must-have)

  • 10+ years cloud architecture experience (primarily Azure).
  • Deep expertise with Microsoft Purview: Data Map, Information Protection, and DLP.
  • Hands-on Purview experience within the last 18 months.
  • Experience designing data lineage architecture and using Apache Atlas APIs.
  • Healthcare/compliance expertise: healthcare data standards and related compliance.
  • Experience implementing healthcare data governance models.
  • Strong capability in PHI/PII protection in cloud environments.

Soft Skills

  • C-level communication skills; able to present to CTO/CDO.
  • Can lead technical teams remotely (US + India).
  • Strong documentation and architecture diagramming.

Nice-to-have

  • Experience with AI/GenAI platforms for metadata automation and intelligent classification (e.g., Azure OpenAI, LangChain, MS Copilot Studio).
  • Azure OpenAI-related components such as Azure Functions and Application Insights.
  • Healthcare/life sciences industry background.
  • Azure Document Intelligence experience.

Education

  • Bachelor’s degree or equivalent.

Scraped 4/17/2026

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