Data Governance Architect

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.

1. 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.

1. Architecture Design for Data Governance Platforms

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

1. 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.

1. 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.

1. Data Classification, Access & Policy Management

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

1. Data Quality Governance

• Define KPIs, validation rules, and remediation workflows for enterprise data quality.
• Design scalable quality frameworks integrated into data pipelines.

1. Compliance, Risk, and Audit Oversight

• Identify risks and define standards for compliance reporting and audits.
• Configure usage analytics, alerts, and dashboards for policy enforcement.

1. Automation & Integration

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

Requirements

• 5+ 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.