Senior Data Privacy & Governance Engineer
Microsoft · Mountain View, CA
- On site
- Full-time
- $158,000 / year
- Mountain View, CA
Job highlights
- Build data privacy and governance tools.
- Collaborate on automated data governance systems.
- Write high-quality, secure, and maintainable code.
- Work in a fast-paced product development cycle.
- Ensure data integrity and regulatory compliance.
About the role
Senior Data Privacy & Governance Engineer
Microsoft AI (MAI) is seeking an experienced Senior Data Privacy & Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. This role is pivotal in ensuring data integrity, regulatory compliance, and secure data usage across the organization.
Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.
By applying to this U.S. New York, New York, Redmond, WA OR Mountain View, CA position, you are required to be local to the New York, Seattle OR San Francisco area in office 3 days a week.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Build tools in the areas of data security, privacy and governance products in distributed data, cloud platform environments.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation automated data governance systems.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
- 3+ years experience in collaborating with engineering, product, legal, and compliance teams to embed privacy-by-design principles and build automated scalable governance mechanisms into our data infrastructure.
- 3+ years experience in building data lineage tracking, proactive alerting mechanisms monitoring and enforce compliance with internal standards and external regulations.
Key skills/competency
- Data Privacy
- Data Governance
- Cloud Infrastructure
- Distributed Systems
- Software Engineering
- Python
- Java
- C#
- Azure
- Regulatory Compliance
Skills & topics
- Data Privacy
- Data Governance
- Software Engineer
- Cloud Computing
- Azure
- Python
- Distributed Systems
- Compliance
- AI
- Microsoft
How to get hired
- Tailor your resume: Highlight experience with data privacy, governance, distributed systems, and cloud platforms like Azure.
- Showcase coding skills: Emphasize proficiency in languages like Python, Java, C#, C++, and C.
- Demonstrate problem-solving: Provide examples of resolving complex technical issues and ensuring scalability and security.
- Highlight collaboration: Detail experience working with cross-functional teams and communicating technical concepts.
- Prepare for technical interviews: Be ready to discuss your experience with cloud infrastructure and data stores.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for the Senior Data Privacy & Governance Engineer role at Microsoft AI?
- The Senior Data Privacy & Governance Engineer role at Microsoft AI requires employees to be local to the New York, Seattle, or San Francisco area and work in the office 3 days a week. Starting January 26, 2026, this expectation increases to at least four days per week for employees within a certain commute distance of a designated Microsoft office, subject to local law.
- What are the primary responsibilities of a Senior Data Privacy & Governance Engineer at Microsoft AI?
- The primary responsibilities include building tools for data security, privacy, and governance in distributed and cloud environments, collaborating on automated data governance systems, writing high-quality code, and ensuring data integrity and regulatory compliance for Copilot systems.
- What technical skills are most important for this Senior Data Privacy & Governance Engineer position?
- Key technical skills include coding proficiency in languages like C++, C#, Java, JavaScript, or Python, experience with distributed systems, public cloud infrastructure (Azure, AWS, GCP), and datastores. Experience with data lineage tracking and compliance mechanisms is also crucial.
- How does Microsoft AI approach data privacy and governance in their AI products?
- Microsoft AI is committed to embedding privacy-by-design principles into their data infrastructure. This involves collaborating with engineering, product, legal, and compliance teams to build automated, scalable governance mechanisms, including data lineage tracking and proactive alerting for compliance with regulations.
- What is the expected career growth for a Senior Data Privacy & Governance Engineer at Microsoft?
- While specific career paths vary, this role offers opportunities to work on cutting-edge AI products like Copilot, contribute to shaping the future of personal computing, and advance within Microsoft's engineering structure, potentially moving into Principal or specialized roles.
- Can I apply for the Senior Data Privacy & Governance Engineer role if I'm not currently in New York, Seattle, or San Francisco?
- The job description states that applicants must be local to the New York, Seattle, or San Francisco area due to the hybrid work requirement. It's advisable to ensure you meet this location requirement before applying.