Data Governance Architect
5 hours ago
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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