Microsoft Principal Experimentation Data Platform Engineer 

Taiwan, Taoyuan City 

139345144

As a

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.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• 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.