Job Description:
Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals from Idea-to-Plan-to-Done. We are responsible for collaborative Work Management products including Microsoft Project, Planner, To Do, and Visio. With Project and Planner, we help customers collaborate effectively to navigate complexity, determine critical paths, and orchestrate their plans to achieve more. With To Do and Tasks, we help customers capture, prioritize, and complete their aspirations and goals along their path to success. With Visio, we help customers model and conceptualize information pathways through process diagrams, organizational charts, and more to visualize what it is and what it can be. Collectively, we're responsible for an incredible portfolio of products and services that help guide people and organizations along their journey to achieve more. Microsoft, being a leader in AI space, we are heavily investing in building new AI tools, agents, skills, and MCP servers. The Senior Data Engineer will operate as an independent technical contributor shaping the data & analytics foundations that power Microsoft Path org’s products and platforms at a global scale. The engineer will collaborate with Product, Engineering, and Data Science stakeholders from multiple teams to analyze data requirements, understand the data flow across existing and new products, differentiate human vs. AI Agent generated data, lead the design of data models, and prepare design specifications for building data pipelines. The Data engineer will be responsible for identifying data sources, building code to extract raw data, and transforming it into formats compatible with downstream consumers. The Data Engineer will develop tools, do performance monitoring, and perform root cause analysis of issues to ensure robust and reliable data pipelines. You will contribute to define architectural direction, influence roadmaps, and set data engineering standards that enable reliable, secure, and scalable analytics for AI-driven products. Additionally, the Sr. Data Engineer will deeply understand data governance & compliance needs, and partner with Corporate, External, and Legal Affairs (CELA) to ensure compliance with laws and policies throughout the development process across WW, EU, and GOV clouds. The role involves designing data modeling, data handling procedures, data cleansing or abstractions, implementing solutions to minimize points of failure, and ensuring that all aspects of data management adhere to organizational standards and regulatory requirements.
