What are the responsibilities and job description for the Senior Data Governance Analyst (Azure Purview + Data Engineering) position at Data Meaning?
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