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).
• Robust 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.

📌 Microsoft Purview (Ahmedabad)
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