Senior Data Engineer

Overview

If you love the pursuit of excellence and are inspired by the challenges that come through driving innovations that impact how the world lives, works and plays, then we invite you to learn more about Microsoft Business Operations (MBO) - and the value we deliver across Microsoft and to our customers and partners. We offer unique opportunities to work on interesting global projects in an environment that appreciates diversity, focuses on talent development and recognizes and rewards great work.

As a Senior Data Engineer, you'll build and operate the platforms that power how Microsoft does business-solving complex, high-impact problems at global scale and shipping technology used every day across the company.

Position

Description:

As a Senior Data Engineer, you will design, build, and operate software that helps teams launch and manage products across Microsoft. You will work closely with partner engineers, product managers, and stakeholders to deliver reliable, secure, and scalable services, translating customer and business needs into high-quality engineering solutions.

In this role, you will drive engineering excellence through strong design skills, clean implementation, and a focus on operational quality. You will contribute to architecture and technical direction, review code and designs, and use AI-assisted development tools (e.g., Git Hub Copilot, agentic coding workflows, GenAI-based code review and test generation) in a disciplined, production-grade way - taking full responsibility for the quality and safety of AI-generated artifacts and applying Responsible AI practices.

You will improve developer velocity through automation, tooling, and AI-powered workflows, use telemetry to troubleshoot issues and continuously improve performance, reliability, and cost, and - where applicable - help integrate AI capabilities such as LLMs, agents, and model-backed features into production systems. You will also mentor others and help raise the team's engineering bar through collaboration, experimentation with new AI practices, and a growth mindset.

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.

Responsibilities

As a Senior Data Engineer, you will own the end-to-end engineering lifecycle for key components and services-designing, coding, testing, deploying, and operating solutions that are secure, reliable, and maintainable.

* AI-native development: Use AI tools across the full SDLC in a disciplined way. Own the quality of AI-generated requirements, designs, and code - yours and your teammates' - and apply Responsible AI practices.

* Data for AI:
Build the training, feature, retrieval, grounding, and evaluation datasets that LLMs, and agents depend on. Partner with PM and engineering to make data contracts, freshness, drift signals, and offline/online consistency first-class concerns.

* Design and architecture: Lead design discussions for your project area, evaluate tradeoffs across batch vs. streaming, warehouse vs. lakehouse, ELT vs. ETL, and storage choices for analytical, feature, and vector workloads. Own architectural decisions with minimal oversight.

* Customer requirements: Partner with PM and engineering to define data requirements; ensure feedback loops on data quality, usage, model performance, and downstream product impact are in place.

* High-quality code: Write extensible, secure, performant code for pipelines, transformations, and supporting services. Apply modern patterns including GenAI-assisted development. Drive code reviews and best practices at the product level.

* Testing and quality: Own the test strategy for your area, including data contract tests, schema validation, freshness checks, distribution and drift monitoring, and offline/online parity. Improve the test suite and use AI tools for test automation.

* Dependencies and coordination: Identify…