[Hiring] Senior Data Governance Analyst @Data Meaning

Role Description

At Data Meaning, we are seeing rapid growth in enterprise data governance initiatives on Azure, with Microsoft Purview at the center. We’re looking for a Senior Data Governance Consultant who can lead end-to-end Purview implementations, shape governance strategy, and partner directly with clients to turn data into a trusted, governed asset. This is not a support role — this is a client-facing leadership position where you will define how organizations manage, secure, operationalize, and engineer their data platforms.

What You’ll Do:

• Lead Azure Purview Implementations
• Architect and deliver end-to-end Microsoft Purview solutions across enterprise environments
• Design and configure:
  • Data Map and scanning strategies
  • Metadata ingestion and classification frameworks
  • End-to-end data lineage (ADF, Databricks, Snowflake, Fabric)
• Establish scalable patterns for cataloging, discovery, and governance automation
• Define Data Governance Strategy
• Design and implement enterprise data governance operating models
• Lead development of:
  • Business glossaries
  • Data ownership & stewardship frameworks
  • Data classification and sensitivity policies
• Conduct governance maturity assessments and define transformation roadmaps
• Build & Integrate Data Pipelines
• Design, develop, and maintain ETL/ELT pipelines using:
  • Azure Data Factory (ADF)
  • dbt (data build tool)
• Build and orchestrate workflows in Databricks (Apache Spark)
• Develop Alteryx workflows to enable self-service analytics and business-driven data prep
• Ingest and manage structured and unstructured data in Azure Data Lake Storage (ADLS)
• Ensure governance is embedded directly into pipelines (lineage, quality, classification)
• Data Modeling & Platform Architecture
• Architect and optimize data models in:
  • Snowflake
  • Databricks / Delta Lake
• Apply modeling techniques:
  • Dimensional modeling
  • Data Vault
• Collaborate with analytics teams to define semantic layers and business logic in dbt
• Ensure performance, scalability, and cost efficiency across platforms
• Partner with Clients & Stakeholders
• Lead client workshops to align business and technical stakeholders
• Translate business needs into governance frameworks and data architecture solutions
• Advise leadership on data risk, compliance, and best practices
• Present solutions to both technical and executive audiences
• Enable Data Quality, Trust & Compliance
• Define and implement data quality frameworks and rules
• Establish:
  • Data lineage tracking
  • Metadata management standards
• Support regulatory initiatives (e.g., GDPR, HIPAA, CCPA) through:
  • Data classification
  • Access controls
  • Audit readiness
• Ensure consistent, trusted, and governed data across platforms
• Engineering & Automation
• Develop Python-based solutions for:
  • Workflow automation
  • API integrations
  • Data operations
• Write and optimize complex SQL queries, views, and stored procedures
• Monitor and optimize pipeline performance, including:
  • Logging
  • Alerting
  • Error handling
• Troubleshoot and resolve data pipeline and platform issues
• Integrate Across the Azure Data Ecosystem
• Align governance and engineering across:
  • Azure Data Factory (ADF)
  • Databricks / Unity Catalog
  • Azure Data Lake Storage (ADLS)
  • Snowflake
• Partner with engineering teams to embed governance into data pipelines and architecture
• Collaboration & Documentation
• Work closely with:
  • Data analysts
  • Data scientists
  • BI engineers
• Document:
  • Data pipelines
  • Data models
  • Governance policies
• Contribute to data catalogs and internal knowledge repositories
• Participate in code reviews and mentor junior team members

Qualifications

• 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

Requirements

• 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
• Alteryx (preferred)
• Strong SQL skills
• Working knowledge of Python for automation and data engineering
• Experience building and optimizing data pipelines and ETL/ELT processes

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