Overview
Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.
The Azure Data and AI Solutions (ADAS) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. We collect and analyze data across the full Azure stack, HW & SW components, Silicon development processes, and much more. ADAS AI, a branch of ADAS, provides AI, ML solutions and advanced visualizations to cloud engineering and management partners.
We are looking for a Principal Data Engineer to lead the design and delivery of scalable data platforms that power custom analytics, AI-driven insights, and advanced visualizations for Azure hardware and cloud engineering scenarios. This high-impact role will focus on modernizing data pipelines and repositories, enabling governed data access, improving data quality and compliance, and partnering closely with BI, AI/ML, Software Engineering, Program Management, and hardware engineering teams to deliver trusted, production-ready data solutions for Azure-level programs.
Responsibilities
Architect and deliver mission-critical data solutions across multiple Azure services, ensuring reliability, scalability, data governance, security compliance, and operational readiness for engineering and management stakeholders.
Design, develop, review, and maintain production-quality code for data engineering services, pipelines, APIs, and automation components, with a focus on performance, testability, observability, maintainability, and secure engineering practices.
Partner with AI/ML engineers, BI developers, software engineers, program managers, and hardware engineering teams to translate business and engineering needs into data models, platform capabilities, dashboards, and actionable insights.
Qualifications
Required/Minimum Qualifications
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.
