Principal Data Engineer

MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.

MCAPS-Core Data & Applied AI (DAAI) is a centralized data and AI organization driving Microsoft's transformation through enterprise data platforms, advanced analytics, AI-powered solutions, automation, and governance. Our mission is to turn data into intelligence and intelligence into action, empowering teams across Microsoft to accelerate decision-making, increase productivity, and deliver exceptional customer outcomes through innovative customer-zero solutions.

MCAPS-Core DAAI is seeking a Principal Data Engineer to build the AI-powered platforms, intelligent agents, and data foundations that fuel Microsoft's transformation. This role combines deep software engineering, data engineering, and AI expertise to deliver scalable solutions powered by generative AI, LLMs, agentic workflows, and enterprise data platforms. The ideal candidate is a hands-on technical leader who thrives on solving complex engineering challenges and building intelligent systems that translate data into actionable business impact.

Candidates who live within 50 miles of Microsoft's Redmond campus will be required to work in the office 3 days per 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.

Responsibilities

• Lead end-to-end development of cloud-native applications, APIs, and platform services, applying full-stack engineering principles across frontend, backend, integration, security, observability, testing, and continuous delivery disciplines.
• Architect and deliver next-generation AI platforms, copilots, agentic systems, and intelligent applications powered by Generative AI, Large Language Models (LLMs), and advanced reasoning capabilities.
• Design and build AI-ready data platforms and knowledge systems, scalable AI services, APIs, and orchestration frameworks that power autonomous agents, intelligent automation, and enterprise-scale workflows.
• Drive the technical strategy and architecture for Applied AI solutions, partnering across engineering, data science, product, and business teams to accelerate AI innovation and adoption.
• Create reusable AI frameworks, SDKs, and platform services that improve developer productivity, model performance, scalability, governance, and reliability.
• Establish best practices for Responsible AI, AI governance, model evaluation, security, compliance, observability, and operational excellence.
• Provide hands-on technical leadership through architecture reviews, code reviews, mentoring, and direct contribution to software, data, and AI solutions.
• Partner with business and technology leaders to identify and deliver transformational AI opportunities that enhance productivity, decision-making, and customer experiences.
• Champion customer-zero innovation by turning emerging AI technologies into scalable platforms, reusable services, and enterprise-wide solutions.

Other:

• Embody our culture and values.

Qualifications

Required/minimum qualifications

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years 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 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience.

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.

Additional or preferred qualifications

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years 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 12+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience.
• 3+ years working with data governance, compliance, and/or data security.
• 5+ years working in data-intensive Azure environments, translating business requirements into scalable data and AI solutions using technologies such as Microsoft Fabric, Azure AI Foundry, Azure Data Platform, Synapse Analytics, and Azure App Service.
• Proficiency developing solutions with Python and/or modern programming languages such as C#, Java, Scala, or equivalent.
• Demonstrated ability to design and implement Generative AI and enterprise AI solutions, including LLMs, RAG, semantic search, vector databases, Copilots, intelligent agents, and multi-agent systems.
• Knowledge of AI platform engineering and production AI practices, including LLM orchestration, knowledge graphs, prompt engineering, model tuning, evaluation frameworks, MLOps/LLMOps, observability, and model governance.
• Background leading enterprise-scale cloud, data, analytics, and AI transformation initiatives, including architecture decisions, engineering strategy, and cross-functional execution.
• Ability to develop cloud-scale services using modern software engineering and SRE practices while mentoring engineers, fostering innovation, and advancing engineering practices across complex organizations.

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.