Senior Staff Engineer - Data Platform

Posted 16 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
We reimagine the way the world moves for the better.
The Role
Lead the architecture and implementation of large-scale distributed data platform systems. Design reliable, high-performance infrastructure, improve availability and scalability, automate capacity planning and monitoring, and reduce operational overhead. Provide organization-wide technical leadership, establish engineering standards, manage complex incidents, address architectural gaps, and guide major projects from inception through global productionization. The role also involves advancing big data platforms and developer tools using technologies such as Spark, Flink, Kafka, GCP, and Kubernetes.
Summary Generated by Built In

About the role and Team 

Batch Data Platform team is responsible for building Uber's Data Lake for the rest of the company. Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Staff Backend Engineer, you will lead the architecture and implementation of next-generation distributed systems that power the bedrock of Uber. This is a high-stakes, high-impact role where you’ll tackle some of the most complex infrastructure challenges in the industry: building sub-50ms latency systems that handle 1M+ requests per second, and designing resilient platforms that power tens of billions of dollars in global marketplace transactions across 70+ countries.

The team is proud to be a part of the open source community in innovating and shaping such exciting technologies as we move forward. Uber, as a business, is also growing rapidly, and Data at Uber is at the heart of almost all products e.g. Pricing predictions, Uber Pool route optimizations, Uber Eats restaurant recommendations, fraud detection, storage and processing of data collected from Autonomous vehicles etc.
By solving these business problems you will not only be helping Uber but also have a front row seat to build and innovate the future Big Data systems and contribute them back to open source. This is an exciting time to be part of the Data team at Uber. Sr Staff lead in this team will be a global lead for big data analytics such as Spark. Be sure to check out our engineering blog to learn more about the team. 


What you’ll do 

  • Design systems architecture and deliver software and tools to advance the reliability of infrastructure including availability, performance, efficiency and scaling.
  • Provide technical leadership, influence and partner with fellow engineers to architect, design and build infrastructure that can stand the test of scale and availability, while reducing operational overhead.
  • Drive efficiencies in systems and processes through automation: capacity planning, configuration management, performance tuning, monitoring and root cause analysis.
  • Collaborate with platform, product and security engineering teams, and enable successful use of infrastructure and foundational services, and manage upstream and downstream dependencies

Basic Qualifications 

  • 12+ years of professional experience in backend development and building world-class distributed systems in large-scale production environments.
  • Proven ability to solve strategically important problems by leading organization-wide development and adoption of key frameworks and coding best practices.
  • Experience foreseeing architectural problems or opportunities a year in advance and working with leadership to address them before they impact the business.
  • Demonstrated track record of leading large-scale engineering projects through all lifecycle stages, from inception and requirement gathering to global productionization.
  • Expertise in defining standards for testing, monitoring, and alerting systems, while overseeing the execution of complex incident management at an organisational level.
  • Proven experience in identifying architectural gaps and creating org-wide frameworks that improve developer velocity and reduce systemic technical debt.
  • Demonstrated leadership in building strategic relationships with internal stakeholders and external partners to rally an organization around a technical vision.
  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications 

  • Prior experience with big data systems - Spark, Hive, HUDI, Iceberg, Presto, Flink, Pinot, HDFS, YARN, etc preferred
  • Experience building hardened developer tools, SDKs, and abstractions (e.g., streaming data with Flink/Kafka) used by hundreds of engineers.
  • Proficiency in cloud-native infrastructure (GCP) and containerization (Kubernetes) at a massive global scale.
About Us

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Skills Required

  • 12+ years of professional experience in backend development and large-scale distributed systems
  • Ability to lead organization-wide development and adoption of frameworks and coding best practices
  • Ability to anticipate architectural problems and opportunities and address them proactively
  • Experience leading large-scale engineering projects through requirements, development, and global productionization
  • Expertise defining standards for testing, monitoring, and alerting systems
  • Experience overseeing complex incident management at an organizational level
  • Experience identifying architectural gaps and creating organization-wide frameworks
  • Demonstrated leadership in building strategic relationships with internal stakeholders and external partners
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • Prior experience with big data systems such as Spark, Hive, Hudi, Iceberg, Presto, Flink, Pinot, HDFS, or YARN
  • Experience building developer tools, SDKs, and abstractions used by many engineers
  • Proficiency with cloud-native infrastructure, including GCP and Kubernetes, at global scale

Uber Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.

  • Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
  • Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
  • Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.

Uber Insights

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The Company
HQ: San Francisco, CA
21,000 Employees
Year Founded: 2009

What We Do

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.

Why Work With Us

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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