Data Governance Architect

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.