Microsoft Purview Data Governance Engineer

ClifyX, INC

  • Newark, NJ
  • 30+ days ago

    Highlights

    Senior Data Governance Engineer (Microsoft Purview) with deep, hands-on experience implementing and operating Microsoft Purview in enterprise data environments. Ability to document technical implementations clearly for technical and non-technical audiences.

    Numbers & Facts

    LocationNewark, NJ

    Description

    Job Description
    Must Have Technical/Functional Skills

    • 5+ years' experience in data engineering, analytics engineering, or data governance
    • 3+ years Hands-on production experience implementing and configuring Microsoft Purview components including Collections, Scanners, Metadata catalog, Classifications, Glossary, and Lineage
    • Demonstrated ability to maintain and enhance existing Purview deployments by resolving scan, lineage, and metadata issues
    • Experience developing automation using Microsoft Purview REST APIs and SDKs
    • Experience with Purview Data Quality including profiling, rules, thresholds, and monitoring
    • Experience with Purview Workflow for approval processes and governance automation
    • Ability to build custom Fabric reports and dashboards using data from Microsoft Purview
    • Ability to implement solutions that enable AI-driven insights and automation
    • Strong knowledge of Azure and AWS data services
    • Proficiency in Python

    Roles & Responsibilities

    • Ability to maintain and enhance existing Purview deployments by resolving scan, lineage, and metadata issues
    • Developing automation using Microsoft Purview REST APIs and SDKs
    • Purview Data Quality including profiling, rules, thresholds, and monitoring

    Generic Managerial Skills, If any

    Senior Data Governance Engineer (Microsoft Purview) with deep, hands-on experience implementing and operating Microsoft Purview in enterprise data environments.

    Key Words to search in Resume

    • Agile experience
    • Financial services tech experience is plus
    • Ability to document technical implementations clearly for technical and non-technical audiences
    • Experience working embedded with data engineering and governance teams

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