New 
Senior Data Engineer - CoreAI
 Microsoft | |
 United States, California, Mountain View | |
 Sep 12, 2025 | |
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OverviewCoreAI is Microsoft's central organization building the foundational platforms and tools to power AI experiences across products including GitHub Copilot, Azure AI Foundry, and Copilot Studio. The organization is expanding rapidly and is establishing a world-class data engineering platform to deliver analytical insights to the company leadership and product owners. As a Senior Data Engineer - CoreAI, your work will be at the heart of transforming data into actionable intelligence and fueling AI-driven innovation. This highly visible role places you as both a technical leader and a visionary collaborator, where your architectural insight and hands-on expertise will enable product teams to turn complex datasets into breakthrough business value. The ideal candidate will thrive in an accelerated culture, demonstrating the ability to adapt quickly to changing priorities while delivering measurable results that propel forward data-driven analytical initiatives. We do not just value differences or different perspectives. We actively seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesData Architecture & Engineering: design, build, andoptimizelarge-scale, robust data pipelines and architectures.Data Governance & Trust: followbest practices for data quality, lineage, security, and compliance.Analytics Enablement: partner with data scientists, analysts, and business leaders to translate business needs into technical solutions.Cross-Functional Collaboration: work closely with product managers, software engineers, AI researchers, and business stakeholders to align data solutions with business goals. | |