Senior Data Architect - Digital Transformation Solutions
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 18, 2025 | |
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OverviewThe Windows and Devices mission is to create innovative, trusted, and open products focused on people, showcasing Microsoft's best and empowering everyone to achieve more. Microsoft Devices designs and manufactures premium hardware like Surface and Xbox, innovating throughout the supply and manufacturing process. Within the Windows and Devices group, Microsoft Devices Operations manages supply chains, product engineering, manufacturing, and services to deliver iconic products. Data plays a vital role in these operations, and if you want to develop scalable data services on Azure, this is the place.We are seeking a visionary and technically skilled Senior Data Architect - Digital Transformation Solutions, to lead the design and implementation of advanced data solutions that power AI-driven insights across our enterprise. This role will focus on semantic data modeling, ontology development, and data engineering within the Microsoft Fabric ecosystem, enabling scalable, intelligent data platforms that support analytics, machine learning, and decision-making. 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.
ResponsibilitiesArchitect and implement scalable data solutions using Microsoft Fabric, including OneLake, Data Factory, Synapse, and Power BI.Design and maintain enterprise ontologies and semantic models to support AI and knowledge graph initiatives.Collaborate with AI/ML teams to ensure data structures and pipelines support advanced analytics and model training.Lead the data engineering strategy, including ingestion, transformation, and orchestration of structured and unstructured data.Define and enforce data governance, metadata management, and data quality standards.Partner with business stakeholders to translate strategic goals into data architecture requirements.Evaluate and integrate emerging technologies in AI, semantic web, and data mesh architectures.Mentor junior architects and engineers, fostering a culture of innovation and excellence. | |