Senior Data Engineering Lead
 Microsoft | |
 United States, Washington, Redmond | |
 May 17, 2025 | |
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OverviewImagine being at the forefront of a revolution powered by Data and AI (Artificial intelligence), transforming Marketing at Microsoft into a true "Frontier Organization" that drives impact at an unprecedented scale. As part of the Global Marketing Data Engineering team, you will have the opportunity to build cutting-edge data platforms that process and synthesize billions of demand signals, enabling personalized customer journeys, media innovation, and high impact campaigns that redefine customer engagement. By crafting data products that integrate, enrich, and serve deep insights across an infinite number of scenarios, you are not only shaping the future but experiencing it firsthand as we directly contribute to the evolution of our most advanced technologies like Purview and Fabric. Join us to unleash your potential and play a pivotal role as a data innovator with world-changing impact - your journey starts here! 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.
ResponsibilitiesLead, own and drive data acquisition, ETL processing and product development for commercial marketing data products to enable critical analytical insights and campaign performance measurement.Curate a healthy backlog of capabilities and features for your data products and drive delivery of the backlog through vendor teams.Be the SME (Subject Matter Expert) of your data domain and the single accountable POC (Point of Contact) owning the delivery of high-quality data product that meets customer needs.Drive end-to-end data architecture, data modeling, design, build and delivery for your data products.Coordinate with source data owners to obtain access and identify data handling and security requirements.Develop proof-of-concept tools to validate connectivity, throughput, correctness, and limitations of those data sources.Work closely with Technical PMs (Program Managers), stakeholders, Analysts, and Data Scientists to define the data strategy that best meets their needs.Collaborate with Peer Developers, Data Architects, source partner engineering team and Data Operations to implement successful solutions.Create data quality and monitoring for key end to end data flows to ensure data reliability and issue visibility and responsiveness.Contribute to enhancing the architecture, design principles and framework through inputs and feedback from domain specific scenarios and use cases.Embody our culture and values. | |