Posted on: 27/08/2025
Key Responsibilities :
- Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC).
- Integrate Purview with data sources : Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.
- Schedule and monitor metadata scanning and classification jobs.
- Implement and maintain collection hierarchies aligned with data ownership.
- Design metadata ingestion workflows for technical, business, and operational metadata.
- Enrich data assets with business context : descriptions, glossary terms, tags.
- Synchronize metadata across tools using REST APIs, PowerShell, or ADF.
- Validate end-to-end lineage for datasets and reports (ADF ? Synapse ? Power BI).
- Resolve lineage gaps or failures using mapping corrections or scripts.
- Perform impact analysis to support downstream data consumers.
- Create custom classification rules for sensitive data (PII, PCI, PHI).
- Apply and manage Microsoft Purview sensitivity labels and policies.
- Integrate with Microsoft Information Protection (MIP) for DLP.
- Manage business glossary in collaboration with domain owners and stewards.
- Implement approval workflows and term governance.
- Conduct audits for glossary and metadata quality and consistency.
Automate Purview operations using :
- PowerShell, Azure Functions, Logic Apps, REST APIs.
- Build pipelines for dynamic source registration and scanning.
- Automate tagging, lineage, and glossary term mapping.
- Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.
Tools & Technologies :
Experience in Microsoft Purview areas :
- Publish/Auto-labeling.
- Data Loss Prevention & Compliance handling.
- Compliance Manager, Communication Compliance, Insider Risk Management.
- Records Management, Unified Catalog, Information Barriers.
- eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit.
- DSPM, Data Policy.
Required Qualifications :
- Strong experience in Microsoft Purview and Informatica governance tools.
- Proficient in tracking and visualizing data lineage across systems.
- Familiar with Azure Data Factory, Talend, dbt, and other integration tools.
- Understanding of data regulations : GDPR, CCPA, SOX, HIPAA.
- Ability to translate technical data governance concepts for business stakeholders.
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Posted By
Vandana Negi
Senior Talent Acquisition Specialist at KANERIKA SOFTWARE PRIVATE LIMITED
Last Active: 15 Oct 2025
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1536543
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