**About the Role** We are part of the **Batch Control Plane team** within **Uber’s Data Platform** under platform engineering, building the foundational systems that power Uber’s data lake. These systems sit at the core of Uber — enabling analytics, data science, and AI workloads that drive pricing, payments, routing, forecasting, and machine learning across the company. We operate at massive scale, storing **exabytes of data** and serving **hundreds of petabytes** every day via billions of requests. Reliability, correctness, and performance are non-negotiable — when these systems move, the company moves with them. Uber is in the middle of a once-in-a-career platform transformation: evolving from an on-prem, single-region data stack to an industry-leading multi-cloud, multi-region architecture. This isn’t a lift-and-shift. It’s a rebuild — happening live, with hundreds of thousands of production pipelines continuing to run. To make this possible, the team works across a few deeply connected problem areas: 1. **Metadata & catalog systems** that help thousands of engineers reliably discover and access data 2. **Large-scale cloud migration** of data and pipelines without breaking production 3. **Disaster recovery** for a hybrid on-prem and cloud platform as the move to cloud accelerates ensuring reliability all the way. 4. **Data lifecycle, governance, and compliance**, ensuring data is managed as per compliance at global scale. It’s an opportunity to own core platform infrastructure, solve **hard distributed systems problems**, and help shape how Uber’s data platform evolves over the next several years. You’ll learn fast, take real responsibility, and see your work have immediate, company-wide impact. **What You'll do:** Build and **evolve platform-level control plane** systems that drive Uber’s batch data platform migration from on-prem infrastructure to a multi-cloud, multi-region architecture Develop and extend foundational frameworks enable safe, automated, and scalable migration of data and pipelines. Design systems that determine **when, where, and how data should move**, balancing correctness, cost, performance, network and reliability across regions and cloud providers. Work on intelligent migration strategies that leverage **dependency analysis, access patterns, and MLIP-style models** to decide optimal movement and placement of data balancing multiple decision variables. Ensure migrations are **non-disruptive and reversible**, with strong observability, safeguards, and automated rollback mechanisms Help shape the long-term direction of Uber’s data platform by turning one-time migration efforts into **durable, reusable platform capabilities** **What You'll Need:** Strong computer science fundamentals, including data structures, algorithms, concurrency, and object-oriented design Proven problem-solving skills with the ability to break down ambiguous, complex problems into well-structured solutions Experience **writing clean, maintainable, and testable code** in at least one general-purpose programming language Strong communication skills and ability to collaborate effectively within and across teams **Bonus point if:** Solid understanding of distributed systems fundamentals (e.g., consistency, availability, fault tolerance, scalability) Ability to reason about performance, reliability, and correctness in large-scale systems Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. \*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).