Microsoft Purview & Data Governance Specialist

About the role 

You will lead hands-on Microsoft Purview implementations for our clients, making their data across Azure, Microsoft Fabric, Microsoft 365 and multi-cloud sources discoverable, classified, protected and compliant. This is a client-facing role that owns the governance workstream from assessment to adoption. 

Key responsibilities 

• Implement Microsoft Purview end to end: Data Map, source scanning, collections/domains, Unified Catalog, glossary and lineage. 

• Configure classifications, sensitivity labels, auto-labeling and DLP across Azure, Fabric, Power BI and Microsoft 365. 

• Define the governance operating model: owners, stewards, policies and data quality rules. 

• Map controls to regulations (GDPR, DPDP Act, HIPAA, SOC 2) and report governance KPIs. 

• Automate onboarding and metadata tasks using Purview APIs, Python or PowerShell. 

• Support presales with solution design, estimates and demos; train client stewards. 

Must-have skills and experience 

• Non-negotiable: hands-on Microsoft Purview implementation on at least one production project. Candidates without this will not be considered. 

• 8+ years in data engineering, BI or data management, with 3+ years in data governance. 

• Proven hands-on experience in each of the following: 

• Purview architecture: account and collection design, integration runtimes, networking and private endpoints. 

• Catalog and lineage: source scanning, Unified Catalog, glossary and end-to-end lineage. 

• Data domains: setting up governance domains and data products. 

• Governance roles: defining and assigning owners, stewards and custodians in Purview. 

• Classification: built-in and custom classifications, sensitivity labels and auto-labeling. 

• Data quality and observability setup: data quality rules, scorecards and health monitoring. 

• Security controls: DLP, access policies, Entra ID and RBAC. 

• Knowledge transfer: handing over the setup, runbooks and practices to data engineers. 

• Working knowledge of governance frameworks (DAMA-DMBOK or DCAM) and metadata management practices. 

• Experience mapping governance controls to regulations such as GDPR, DPDP Act, HIPAA or SOC 2. 

• Experience governing hybrid and multi-cloud sources (on-prem SQL, AWS S3, Snowflake, Databricks). 

• Strong Azure data platform knowledge (ADLS Gen2, Azure SQL, Synapse, Data Factory) plus Fabric and Power BI governance. 

• Strong SQL; Python or PowerShell scripting. 

• Client-facing delivery: running stakeholder workshops, writing governance policies, managing scope and timelines. 

Good-to-have skills and certifications 

• Certifications: SC-401, DP-600/DP-700, CDMP or DCAM. 

• Exposure to Collibra, Alation, Informatica or Databricks Unity Catalog. 

• Purview for AI / DSPM for AI (governing Copilot and AI app data). 

• BFSI, healthcare or retail domain experience.