Senior Data Governance Analyst – Azure Purview, Data Engineering
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Job Description
Senior Data Governance Analyst leading Azure Purview implementations and shaping data governance strategy at Data Meaning. Working directly with clients and delivering enterprise data solutions.
Responsibilities:
- Lead Azure Purview Implementations
- Architect and deliver end-to-end Microsoft Purview solutions across enterprise environments
- Design and configure Data Map, scanning strategies, Metadata ingestion, and classification frameworks
- Establish scalable patterns for cataloging, discovery, and governance automation
- Define Data Governance Strategy
- Design and implement enterprise data governance operating models
- Build & Integrate Data Pipelines using Azure Data Factory (ADF), dbt, Databricks, and Alteryx
- Develop Python-based solutions for workflow automation, API integrations, and data operations
- Collaborate with analytics teams to define semantic layers and business logic in dbt
- Ensuring governance is embedded in data pipelines
- Conduct governance maturity assessments and define transformation roadmaps
- Document data pipelines, models, and governance policies
Requirements:
- 7+ years in data, analytics, engineering, or data governance roles
- 3+ years hands-on experience with Microsoft Purview
- Proven experience leading data governance implementations or programs
- Strong understanding of data cataloging, lineage, and metadata management
- Data governance frameworks and operating models
- Experience in client-facing / consulting roles
- Deep experience with Microsoft Purview (Data Map, scanning, classification, lineage)
- Strong experience with Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Snowflake
- Databricks / Unity Catalog
- Experience with dbt for transformations and modeling
- Strong SQL skills
- Working knowledge of Python for automation and data engineering
- Experience building and optimizing data pipelines and ETL/ELT processes
- Experience designing data stewardship models
- Business glossaries
- Governance policies and standards
- Strong communication and workshop facilitation skills
Benefits:
- Work on high-impact, enterprise Azure data transformations
- Be part of a fast-growing governance practice
- Collaborate across data engineering, analytics, and AI teams
- Opportunity to shape both governance and modern data platform capabilities
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