Data Engineer II

MicrosoftRedmond, WA
$102,100 - $219,200

About The Position

The Office Product Group (OPG) Data Platform team is building a unified, governed data platform for Office Product Group. The team’s mission is to provide a trusted intelligence backbone that enables OPG teams to deliver business-critical insights, scorecards, dashboards, feature health reports, experimentation intelligence, and AI-ready experiences from a shared source of truth. We are looking for a Data Engineer II to design, lead the AI and agentic systems that build, operate, and scale a curated OPG data platform, the governed source of truth that experimentation, growth, and Copilot scenario analysis run on. In this role, you will be orchestrating and driving the long-term architecture for the agents to do the low-level ingestion, transformation, and metric engineering. 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.

Requirements

  • 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.
  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • 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
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