Purview Architect

Valuelabs; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Valuelabs is seeking a data governance specialist to lead initiatives using Microsoft Purview. You will design and implement enterprise governance frameworks and manage cataloging, metadata, and data lineage across the organization.

Responsibilities include ensuring sensitive data is identified, classified, protected, and compliant with regulatory requirements, integrating Purview with Azure data services, and collaborating with business, security, compliance, and data engineering teams to

Qualifications

• Experience leading data governance programs.
• Ability to design enterprise governance frameworks.
• Strong collaboration with cross-functional teams.

Responsibilities

• Lead data governance, data discovery, and data classification initiatives using Microsoft Purview.
• Design and implement enterprise data governance frameworks, policies, and standards.
• Manage data cataloging, metadata management, and data lineage across the organization.
• Ensure sensitive data is identified, classified, protected, and compliant with regulatory requirements.
• Integrate Microsoft Purview with Azure data services to provide end-to-end data visibility and governance.
• Collaborate with business, security, compliance, and data engineering teams to improve data quality, compliance, and governance practices.

Skills

Data governance

Data privacy

Stakeholder collaboration

Tools

Microsoft Purview

Job description

Role & responsibilities

Lead data governance, data discovery, and data classification initiatives using Microsoft Purview. Design and implement enterprise data governance frameworks, policies, and standards. Manage data cataloging, metadata management, and data lineage across the organization. Ensure sensitive data is identified, classified, protected, and compliant with regulatory requirements. Integrate Microsoft Purview with Azure data services to provide end-to-end data visibility and governance. Collaborate with business, security, compliance, and data engineering teams to improve data quality, compliance, and governance practices