Engineering Manager II - Data

A technology company building the future of independent mobility for everyone and everything.
Data
Staff Software Engineer
Hybrid
5,000+ Employees
Enterprise SaaS · Travel

Description For Engineering Manager II - Data

Join Uber as an Engineering Manager II - Data, where you'll lead a dedicated team building best-in-class data solutions. This role combines technical leadership with team empowerment, focusing on fostering an inclusive culture that values creativity and excellence. You'll be instrumental in implementing data engineering best practices, ensuring platform reliability, and collaborating across functions with product managers, data scientists, and business stakeholders.

The position offers a unique opportunity to shape the future of Uber's data infrastructure while mentoring and developing talented engineers. You'll be responsible for promoting a culture of continuous improvement through code reviews, design reviews, and knowledge sharing. The role requires a balance of technical expertise and leadership skills to build robust data platforms that the business can trust.

Working in Uber's Bangalore office, you'll be part of a global team that's moving the world forward. The hybrid work model allows for flexibility while maintaining strong team collaboration and Uber's cultural identity. You'll have the chance to work on challenging problems at scale, implementing solutions that impact Uber's global operations.

This is an excellent opportunity for experienced engineering leaders who are passionate about data systems and want to make a significant impact at a company that's revolutionizing transportation and delivery worldwide. You'll be at the forefront of building systems that power Uber's data-driven decision-making processes while growing and developing a high-performing engineering team.

Last updated a month ago

Responsibilities For Engineering Manager II - Data

  • Lead and foster a collaborative, inclusive team culture
  • Provide mentorship, guidance, and professional development opportunities
  • Promote continuous improvement through code reviews, design reviews, and knowledge sharing
  • Collaborate with product managers, data teams, and business stakeholders
  • Implement Data Engineering best practices
  • Develop vision and roadmap for the team
  • Ensure trust in the data platform
  • Implement robust mechanisms to detect issues and recover from failures

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