| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY · Redmond, WA · Mountain View, CA
Salary
$119,800–$234,700 / yr
Posted
53 days ago
Closes
Oct 11, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 52% of similar roles. Most pay $152,712–$217,725 — the shaded band above. At the midpoint, this role pays about $177k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

The Principal Data Privacy & Governance Engineer role at Microsoft AI (MAI) is a senior-level position focused on developing mission-critical applications and platform components for personal AI and Copilot systems. This individual will build tools in data security, privacy, and governance within distributed cloud environments, collaborating closely with engineers and researchers to create next-generation automated data governance solutions. The ideal candidate should have extensive experience in building scalable services on public clouds like Azure, AWS, or GCP, as well as a strong background in embedding privacy-by-design principles into data infrastructure through collaboration with legal and compliance teams. Proficiency in distributed systems, templating, and data lineage tracking is essential for ensuring regulatory compliance and secure data usage across the organization.

What you'll do

  • Design and develop tools for data security, privacy, and governance in distributed cloud environments.
  • Collaborate with engineers and researchers to create next-generation automated data governance systems.
  • Ensure regulatory compliance and secure data usage across organizational platforms.
  • Embed privacy-by-design principles into data infrastructure through collaboration with cross-functional teams.
  • Build scalable services on public cloud infrastructures like Azure or AWS.
  • Construct proactive alerting mechanisms for monitoring and enforcing compliance with internal standards.

What we're looking for

  • Extensive experience (4+ years) building scalable services on public cloud platforms like Azure, AWS, or GCP.
  • Proven track record (3+ years) of collaborating across engineering, product, legal, and compliance teams to embed privacy-by-design principles.
  • Solid background in creating data lineage tracking systems and proactive alerting mechanisms for regulatory compliance.
  • Deep expertise in ensuring secure data usage and integrity within distributed data environments.
  • Strong proficiency in architecting solutions that comply with internal standards and external regulations.

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