Purview Engineer

As a Microsoft Purview Engineer, you'll play a critical role in designing and implementing robust solutions for data governance, compliance, and risk management. Your expertise will contribute to maintaining data security, ensuring regulatory compliance, and minimizing risks across the organization. Here are the key responsibilities and qualifications:

Responsibilities:

1. Design and Implementation of Microsoft Purview Solutions:

Collaborate with stakeholders to understand business requirements and translate them into effective Microsoft Purview solutions.

Create comprehensive data governance strategies, considering data classification, labeling (sensitivity labels), retention policies, and protection mechanisms.

1. Data Security Solutions:

Develop and implement data security measures within Microsoft Purview.

Ensure Data Loss Prevention (DLP), Information Barriers, Information Protection, and Insider Risk Management are effectively configured and monitored.

1. Data Governance Expertise:

Utilize Microsoft Purview components such as Data Catalog, Data Estate Insights, Data Map, Data Policies, and Data Sharing.

Implement data governance practices, including data audit, communication compliance, compliance manager, data lifecycle management, and eDiscovery.

1. Collaboration and Communication:

Work closely with cross-functional teams, including data engineers, data scientists, and compliance officers.

Communicate technical concepts clearly to non-technical stakeholders.

Qualifications:

Experience:

oProven experience designing and implementing data governance solutions using Microsoft Purview.

oFamiliarity with data classification, labeling, and retention policies.

oExposure to data security practices, including DLP and risk management.

Technical Skills:

oProficiency in Microsoft Purview components (Data Catalog, Data Estate Insights, etc.).

oKnowledge of compliance tools such as Compliance Manager.

oUnderstanding of eDiscovery and records management.

Collaboration and Problem-Solving:

Strong analytical skills and the ability to address complex data governance challenges.

Excellent teamwork and communication skills.

Strong soft skills and high Emotional Intelligence.