What You Will Do :
As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance.
Required Qualifications :
- 7+ years of experience in data governance and data management.
- Proficient in Microsoft Purview and Informatica data governance tools.
- Strong in metadata management, lineage mapping, classification, and security.
- Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools.
- Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs.
- Skilled in bridging technical governance with business and compliance goals.
Tools & Technologies :
- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog
- Microsoft Purview capabilities :
1. Label creation & policy setup
2. Auto-labeling & DLP
3. Compliance Manager, Insider Risk, Records & Lifecycle Management
4. Unified Catalog, eDiscovery, Data Map, Audit, Compliance alerts, DSPM.
Key Responsibilities :
1. Governance Strategy & Stakeholder Alignment :
- Develop and maintain enterprise data governance strategies, policies, and standards.
- Align governance with business goals : compliance, analytics, and decision-making.
- Collaborate across business, IT, legal, and compliance teams for role alignment.
- Drive governance training, awareness, and change management programs.
2. Microsoft Purview Administration & Implementation :
- Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure.
- Optimize Purview setup for large-scale environments (50TB+).
- Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.
- Schedule scans, set classification jobs, and maintain collection hierarchies.
3. Metadata & Lineage Management :
- Design metadata repositories and maintain business glossaries and data dictionaries.
- Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions.
- Ensure lineage mapping (ADF ? Synapse ? Power BI) and impact analysis.
4. Data Classification & Security Governance :
- Define classification rules and sensitivity labels (PII, PCI, PHI).
- Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager.
- Enforce records management, lifecycle policies, and information barriers.
5. Data Quality & Policy Management :
- Define KPIs and dashboards to monitor data quality across domains.
- Collaborate on rule design, remediation workflows, and exception handling.
- Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management.
6. Business Glossary & Stewardship :
- Maintain business glossary with domain owners and stewards in Purview.
- Enforce approval workflows, standard naming, and steward responsibilities.
- Conduct metadata audits for glossary and asset documentation quality.
7. Automation & Integration :
- Automate governance processes using PowerShell, Azure Functions, Logic Apps.
- Create pipelines for ingestion, lineage, glossary updates, tagging.
- Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc.
8. Monitoring, Auditing & Compliance :
- Set up dashboards for audit logs, compliance reporting, metadata coverage.
- Oversee data lifecycle management across its phases.
- Support internal and external audit readiness with proper documentation.
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