We are seeking a Senior Data Governance Engineer with strong handson experience implementing and operating Microsoft Purview in largescale enterprise data environments. The ideal candidate will have a solid background in data engineering analytics engineering or data governance along with experience across Azure and AWS data services and proficiency in Python. This role requires excellent communication skills and the ability to collaborate with crossfunctional teams to establish and enforce data governance standards.
Top Required Skills
Senior Data Governance Engineer - Microsoft Purview
Deep handson experience implementing and managing Microsoft Purview in enterprise environments
Data Engineering / Data Governance Experience
5 years of experience in data engineering analytics engineering or data governance roles
Microsoft Purview Configuration & Operations
3 years of handson production experience configuring and operating:
Purview Collections
Scanners
Metadata Catalog
Classifications
Business Glossary
Data Lineage
Preferred Skills
Microsoft Azure (data services & integrations)
AWS Data Services
Python (scripting automation data processing)
Roles & Responsibilities
Design implement and operate enterprise data governance solutions using Microsoft Purview
Configure and manage Purview components including collections scanners classifications glossary metadata catalog and lineage
Integrate Purview with Azure and AWS data platforms to enable endtoend data discovery and governance
Collaborate with data engineering analytics security and business teams to define governance standards and policies
Develop automation and governance workflows using Python
Ensure data quality compliance metadata management and lineage visibility across enterprise data assets
Communicate governance concepts and implementation details clearly to technical and nontechnical stakeholders
Core Skills
Data Governance
Microsoft Purview
Azure Data Services
AWS Data Services
Python
Metadata Management
Data Lineage & Classification
Communication & Stakeholder Collaboration
a text-decoration: none; color: #464feb;tr th tr td border: 1px solid #e6e6e6;tr th background-color: #f5f5f5;Job Summary We are seeking a Senior Data Governance Engineer with strong handson experience implementing and operating Microsoft Purview in largescale enterprise data environments. The id...
Job Summary
We are seeking a Senior Data Governance Engineer with strong handson experience implementing and operating Microsoft Purview in largescale enterprise data environments. The ideal candidate will have a solid background in data engineering analytics engineering or data governance along with experience across Azure and AWS data services and proficiency in Python. This role requires excellent communication skills and the ability to collaborate with crossfunctional teams to establish and enforce data governance standards.
Top Required Skills
Senior Data Governance Engineer - Microsoft Purview
Deep handson experience implementing and managing Microsoft Purview in enterprise environments
Data Engineering / Data Governance Experience
5 years of experience in data engineering analytics engineering or data governance roles
Microsoft Purview Configuration & Operations
3 years of handson production experience configuring and operating:
Purview Collections
Scanners
Metadata Catalog
Classifications
Business Glossary
Data Lineage
Preferred Skills
Microsoft Azure (data services & integrations)
AWS Data Services
Python (scripting automation data processing)
Roles & Responsibilities
Design implement and operate enterprise data governance solutions using Microsoft Purview
Configure and manage Purview components including collections scanners classifications glossary metadata catalog and lineage
Integrate Purview with Azure and AWS data platforms to enable endtoend data discovery and governance
Collaborate with data engineering analytics security and business teams to define governance standards and policies
Develop automation and governance workflows using Python
Ensure data quality compliance metadata management and lineage visibility across enterprise data assets
Communicate governance concepts and implementation details clearly to technical and nontechnical stakeholders