The Senior Data Engineer for Product Engineering Partnership will serve as the technical lead embedded with product engineering teams, focusing on telemetry contracts and experimentation data infrastructure. This role requires a combination of deep production data experience and strong partnership instincts to co-design instrumentation and translate product questions into data systems. The position emphasizes building a data-driven feedback loop to enhance Global Skilling products. The candidate will also mentor junior engineers and ensure alignment with Microsoft-wide telemetry standards.

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years of experience in business analytics, data science, software development, data modeling, or data engineering.
• OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering.
• OR equivalent experience.
• Ability to meet Microsoft, customer, and/or government security screening requirements.

• Own telemetry contracts and instrumentation that ship with Global Skilling products.
• Design and operate experimentation data infrastructure, including A/B testing pipelines.
• Build catalog and content management data integrations across the Global Skilling product surface.
• Lead semantic model design for product analytics in partnership with Reporting and Analytics teams.
• Build and maintain external reporting pipelines for ASN and partner-facing products.
• Operate Insights and Analytics feedback loops to surface usage patterns and customer feedback.
• Mentor Data Engineer II engineers on telemetry design and experimentation practices.
• Partner with Microsoft-wide alignment forums to align telemetry standards.
• Provide on-call leadership for product-tier pipelines.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.