Principal Experimentation Data Platform Engineer

As a Principal Data Platform Engineer on the Teams Experimentation Platform, you will build cutting edge systems that power safe, rapid learning loops, shape product strategy through high quality experimentation and metrics, and ship data driven experiences that delight customers. If you are passionate about solving complex distributed challenges, influencing product direction, and delivering technology that makes a global impact, this role is for you.

Our culture is inclusive, collaborative, and high energy. We thrive on diverse perspectives, teamwork, and a relentless focus on customer success. The collaboration space is growing rapidly, offering exceptional opportunities to learn innovative technologies and accelerate your career. Our mission is to empower the organization with deep customer insights and data-driven decision making, ensuring product quality and craft remain top priorities. We are a savvy group of Experimentation specialists, blending software engineering expertise with AI-driven acceleration and optimization to build reliable, scalable data systems—enabling the entire organization to innovate faster and deliver world-class experiences. Join us to shape the future of intelligent collaboration across industries and geographies.

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.

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.
• 6+ years of experience designing and developing big data distributed architectures, scalable systems, and solving complex data problems at scale.
  
• 6+ years of experience working with complex data sets, data pipelines, and modern data platforms such as Microsoft Fabric, Databricks, or similar.
  
• 4+ years of experience building and managing A/B experimentation platform capabilities integrated with big data systems, as well as hands-on experience utilizing A/B testing.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master'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 Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• Deep experience in system design and architecture for large scale, distributed, highly available services, with a strong record of operational excellence, reliability, performance optimization, efficiency, and ownership of production systems.
• Proven ability to apply AI and machine learning for acceleration and optimization of experimentation workflows, data pipelines, guardrails, and data informed decision making.
  
• Hands on expertise with modern data platforms and technologies, including Microsoft Fabric, Databricks, Azure Data Lake, Azure Data Factory, Azure Synapse, Spark, Scala, Hadoop, HDInsight, or equivalent, with experience building and operating complex data sets and pipelines at scale. Full stack development experience is a plus.
  
• Leadership and influence across organizational boundaries, with the ability to communicate technical details clearly to diverse audiences, strong analytical skills and data storytelling through concise, actionable visualizations, a bias for action and customer focus, and the ability to navigate ambiguity in a fast-paced environment.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 17,2025

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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• Design, develop and maintain components that power the Experimentation infrastructure for Microsoft Teams.
• Collaborate and influence designs, architectures, and best practices to support large-scale distributed systems and big data pipelines in our A/B testing platform.
• Analyze complex, high-volume, high-dimensional data systems for scalability.
• Understand and influence the product metrics in Experimentation AB across different surfaces where MS Teams is available.
• Collaborate closely with peers and other teams across a variety of technical, business and data backgrounds to find innovative solutions in a fast-paced environment.
• Leverage AI to accelerate and optimize experimentation workflows, data pipelines, and developer experiences, improving speed, quality, and reliability.
• Be a champion and influencer of our experimentation-driven culture within MS Teams.