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).

- Solid 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.

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📌 Microsoft Purview & Data Governance Specialist (Ahmedabad)
🏢 Simform
📍 Ahmedabad