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Senior Data Governance Analyst (Azure Purview + Data Engineering)

Brazil-based | Full-Time CLT | Data & Governance

Why This Role Matters

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

  What We’re Looking For

  Required Experience

• 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

  Technical Expertise

• 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

  Governance & Business Skills

• Experience designing:

• Data stewardship models

• Business glossaries

• Governance policies and standards

• Ability to bridge business and technical stakeholders

• Strong communication and workshop facilitation skills

  Preferred

• Experience with additional governance tools (Collibra, Alation)

• Familiarity with:

• CI/CD pipelines, Git, and DataOps practices

• Azure certifications (e.g., DP-203, Purview-related)

• Experience in regulated industries

• Familiarity with Microsoft Fabric

  What Success Looks Like in This Role

• You can lead a Purview implementation from 0 → production

• You can define both:

• Governance strategy

• Data engineering architecture

• You are equally comfortable:

• Running executive workshops

• Designing scalable data pipelines

• You help clients move from data chaos → governed, production-grade data platforms

  Why Join Data Meaning

• 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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