Microsoft Principal Data Privacy Engineer 

Taiwan, Taoyuan City 

20937184

Required Qualifications:

• Bachelor'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 equivalent experience.
    
• 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.

Preferred Qualifications:

• 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.
  
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 17, 2025.

• 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.