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Data Governance Architect

Gallop Research
Multiple Locations
8 - 12 Years

Posted on: 08/12/2025

Job Description

Overview :


We are seeking an experienced Data Governance Architect to lead the design, implementation, and evolution of enterprise-wide data governance frameworks. This role will be responsible for defining governance strategy, establishing standards, architecting governance platforms, and enabling organization-wide adoption of best practices. The ideal candidate brings deep expertise in Microsoft Purview and modern data governance ecosystems, with strong architectural and stakeholder-management capabilities.

What You Will Do :

1. Strategy, Framework, and Governance Operating Model :

- Develop and maintain enterprise-wide data governance strategies, standards, policies, and frameworks.

- Ensure governance practices enable regulatory compliance, analytics readiness, and business value creation.

- Define governance roles, responsibilities, and stewardship models across the organization.

- Conduct governance maturity assessments and drive enterprise-level change management initiatives.

2. Stakeholder Alignment & Organizational Enablement :

- Partner with cross-functional teams including IT, legal, compliance, security, and business functions to align governance priorities.

- Develop organizational enablement programs, including communication plans, training content, and stewardship onboarding materials.

- Conduct governance workshops, awareness sessions, and capability-building activities.

3. Architecture Design for Data Governance Platforms :

- Architect scalable, modular, and cloud-ready data governance platforms tailored to enterprise needs.

- Evaluate, recommend, and implement tools such as Microsoft Purview, Collibra, Alation, BigID, and Informatica.

- Ensure seamless integration across metadata management, privacy, quality, and policy enforcement systems.

4. Microsoft Purview Solution Architecture :

- Lead the full lifecycle implementation of Microsoft Purview, from design to operationalization.

- Configure Purview components including RBAC, collections, metadata scanning, classification, business glossary, and data map.

- Implement compliance and security features: sensitivity labels, insider risk controls, data retention, auditing, and monitoring.

- Design dashboards and analytics for governance insights and policy compliance.

5. Metadata, Lineage & Glossary Management :


- Architect and manage enterprise metadata repositories and ingestion pipelines.

- Ensure complete lineage tracking across platforms (ADF - Synapse - Power BI - downstream systems).

- Establish governance for business glossary management, review cycles, and approval workflows.

6. Data Classification, Access & Policy Management

- Define enterprise-wide rules for data classification, access control, retention, and information sharing.

- Align data policies with global regulatory frameworks such as GDPR, HIPAA, CCPA, and SOX.

- Leverage Microsoft Purview and Microsoft Information Protection (MIP) for automated policy enforcement.

7. Data Quality Governance :

- Define KPIs, thresholds, validation rules, and remediation workflows for data quality.

- Architect scalable data quality frameworks integrated into data pipelines and analytics workflows.

- Align quality rules with enterprise data domains and business criticality.

8. Compliance, Risk, and Audit Oversight :

- Identify data risks and establish standards for compliance reporting and regulatory audits.

- Configure dashboards, alerts, and analytics for policy exceptions, access anomalies, and governance violations.

- Support internal and external audit functions with structured governance evidence and reporting.

9. Automation & Integration :

- Automate governance workflows using PowerShell, Azure Functions, Logic Apps, and REST APIs.

- Integrate governance tools with enterprise platforms such as Azure Monitor, Synapse Link, Power BI, and third-party solutions.

- Drive automation to reduce operational overhead, improve accuracy, and enable real-time governance insights.

Required Qualifications :

- 15+ years of experience in data governance, enterprise data management, or related domains.

- Deep expertise in Microsoft Purview, Informatica, and modern governance platforms.

- Proven experience designing and leading end-to-end data governance initiatives at enterprise scale.

- Strong understanding of metadata management, data lineage, policy frameworks, and regulatory compliance.

- Hands-on experience with Azure Data Factory, REST APIs, PowerShell, and governance architecture patterns.

- Ability to collaborate effectively with senior stakeholders and work within Agile delivery frameworks.

- Excellent communication, documentation, and leadership skills.


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