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Data Governance Architect

Data Governance Architect

Kanerika IncDelhi, India
1 day ago
Job description

Locations :

We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).

Required Qualifications :

  • 15+ years in data governance and management.
  • Expertise in Microsoft Purview, Informatica, and related platforms.
  • Experience leading end-to-end governance initiatives.
  • Strong understanding of metadata, lineage, policy management, and compliance regulations.
  • Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture.
  • Familiar with Agile methodologies and stakeholder communication.

What You Will Do :

As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include :

1. Strategy, Framework, and Governance Operating Model :

  • Develop and maintain enterprise-wide data governance strategies, standards, and policies.
  • Align governance practices with business goals like regulatory compliance and analytics readiness.
  • Define roles and responsibilities within the governance operating model.
  • Drive governance maturity assessments and lead change management initiatives.
  • 2. Stakeholder Alignment & Organizational Enablement :

  • Collaborate across IT, legal, business, and compliance teams to align governance priorities.
  • Define stewardship models and create enablement, training, and communication programs.
  • Conduct onboarding sessions and workshops to promote governance awareness.
  • 3. Architecture Design for Data Governance Platforms

  • Design scalable and modular data governance architecture.
  • Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica.
  • Ensure integration with metadata, privacy, quality, and policy systems.
  • 4. Microsoft Purview Solution Architecture

  • Lead end-to-end implementation and management of Microsoft Purview.
  • Configure RBAC, collections, metadata scanning, business glossary, and classification rules.
  • Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards.
  • 5. Metadata, Lineage & Glossary Management :

  • Architect metadata repositories and ingestion workflows.
  • Ensure end-to-end lineage (ADF, Synapse, Power BI).
  • Define governance over business glossary and approval workflows.
  • 6. Data Classification, Access & Policy Management :

  • Define and enforce rules for data classification, access, retention, and sharing.
  • Align with GDPR, HIPAA, CCPA, SOX regulations.
  • Use Microsoft Purview and MIP for policy enforcement automation.
  • 7. Data Quality Governance :

  • Define KPIs, validation rules, and remediation workflows for enterprise data quality.
  • Design scalable quality frameworks integrated into data pipelines.
  • 8. Compliance, Risk, and Audit Oversight :

  • Identify risks and define standards for compliance reporting and audits.
  • Configure usage analytics, alerts, and dashboards for policy enforcement.
  • 9. Automation & Integration :

  • Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs.
  • Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms.
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