Data Governance Architect

1 week ago

Vadodara, India Kanerika Inc Full time

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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