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Data Governance Architect

Technocraft Solutions

 

Chicago, IL, USA

Posted On: 30+ days ago
Experience: 12+ years
Availability: Remote
Openings: 1
Category: Data Governance Architect
Tenure: Contract - Corp-to-Corp
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Description

Required Qualifications

  • 12+ years of experience in enterprise data platform, solution, or data governance architecture.
  • Proven experience designing enterprise-scale metadata, catalog, lineage, and governance solutions.
  • Deep expertise with Microsoft Purview, including metadata management, classification, and lineage.
  • Experience designing enterprise metadata and lineage architectures across cloud platforms and BI ecosystems.
  • Strong understanding of AI-enabled data discovery solutions, including retrieval-augmented generation (RAG), metadata-driven search, automated classification, and contextual information retrieval.
  • Experience establishing enterprise security, governance, and Responsible AI standards.
  • Excellent executive communication and presentation skills with experience leading architecture review boards and executive design discussions.

Preferred Qualifications

  • Hands-on experience with Microsoft Purview Collections, Scan Rule Sets, Classifications, and Atlas APIs.
  • Experience with Snowflake, Azure Data Factory (ADF), dbt, Airflow, and enterprise analytics platforms such as Power BI or Tableau.
  • Experience within healthcare, life sciences, or regulated industries with knowledge of HIPAA considerations.
  • Experience designing hybrid and multi-cloud architectures across Azure and AWS.
  • Familiarity with data contracts, data access governance, and enterprise data-sharing patterns.

What We're Looking For

Successful candidates will demonstrate:

  • Strong enterprise architecture and technical leadership experience.
  • Deep knowledge of metadata, lineage, and data governance best practices.
  • The ability to design AI-enabled solutions built upon governed enterprise metadata.
  • Excellent stakeholder management skills with both technical and executive audiences.
  • Experience balancing technical innovation with security, governance, and regulatory requirements.

Nice to Have (Not Required)

  • Experience with enterprise AI accelerator frameworks or similar automation platforms.
  • Previous experience on large-scale enterprise data discovery initiatives.
  • Formal architecture certifications or governance certifications

Education

Bachelor's degree

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