Role at a glance
- Salary
- $102.1K – $202.2K/yr
- Location
- Redmond, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's, Master's
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Role Summary
The Office Product Group Data Platform team is building a unified, governed data platform that serves as a shared source of truth for experimentation, growth, Copilot scenario analysis, reporting, and analytics. The Data Engineer II will lead the architecture of AI and agentic systems that automate and scale data platform operations.
What You'll Do
- Architect agentic systems for generating, validating, operating, and scaling ingestion, transformation, and serving.
- Own the long-term architecture and engineering patterns for curated data and semantic layers across Microsoft Fabric, Kusto/Eventhouse,...
- Build orchestration, guardrails, evaluations, and self-healing observability for reliable agent-run data operations.
- Ensure AI-generated reports, narratives, and exports use deterministic, governed data.
- Lead architecture and design reviews and partner with experimentation, growth, and app teams to develop platform capabilities.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Master's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field and 1+ year(s) of relevant experience; or bachelor's degree in one of these fields and 2+ years of relevant experience; or equivalent experience. Relevant experience includes business analytics, data science, software development, data modeling, or data engineering. Microsoft Cloud Background Check required.
Required
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
- 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering with a master's degree
- 2+ years experience in business analytics, data science, software development, data modeling, or data engineering with a bachelor's degree
- Ability to meet Microsoft, customer and/or government security screening requirements
- Microsoft Cloud Background Check
Preferred
- Experience designing and operating large-scale data platforms, distributed services, or analytics systems
- Recent experience building AI agentic systems with latest models
- Data modeling
- KQL or SQL
- Data contracts
- CI/CD
- Observability
- Reliability
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Responsibilities
Architect the agentic data platform — the AI systems that generate, validate, operate, and scale ingestion, transformation, and serving — so new datasets and metrics are onboarded by orchestration rather than bespoke engineering.
Own the long-term architecture and durable engineering patterns for the curated data and semantic layer as OPG's governed source of truth across Microsoft Fabric, Kusto/Eventhouse, and OneLake.
Build the orchestration, guardrails, evaluations, and self-healing observability that let agents run data operations reliably, with engineers supervising outcomes rather than hand-tending pipelines.
Ground AI-generated reports, narratives, and exports in deterministic, governed data so numbers are never invented.
Lead architecture and design reviews, raise the engineering bar for applied AI, and partner across experimentation, growth, and app teams to turn ambiguous product needs into durable platform capability.
Qualifications
Required Qualifications:
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) 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 2+ 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.
Preferred Qualifications:
Experience designing and operating large-scale data platforms, distributed services, or analytics systems. Recent experience building AI agentic systems with latest models.
Deep engineering judgment in data modeling, KQL or SQL, data contracts, CI/CD, observability, reliability, and service operations.
Ability to partner across engineering, program management, data/applied science, analytics, and app teams to convert ambiguous product needs into durable platform capabilities.
Demonstrated ability to drive cross-team technical alignment and mentor engineers through architecture, implementation, and operational readiness.
Familiarity with Microsoft Fabric, Kusto/Eventhouse, OneLake, ADLS Gen2/Delta, semantic models, Power BI, or AI-driven analytics is preferred.
#OPG #OPGHiring
Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.