Job Description

Lead a high-performing engineering team in designing, implementing, and scaling data solutions that drive analytics, reporting, and business insights.
Provide technical leadership in architecting, building, testing, releasing, and monitoring data pipelines, models, and workflows
Work closely with product managers, data scientists, ML engineers, and other stakeholders to define the vision and roadmap for core services analytics and data products.
Identify strategically important problems, inefficiencies, or opportunities for meaningful improvement, and drive alignment across teams to deliver high-impact solutions.
Promote a culture of continuous improvement and engineering excellence, including best practices in coding, design, documentation, testing, monitoring, and deployment of next-generation fintech systems.
Serve as a role model by demonstrating good judgment, responsibility, and accountability; guide the team in effective project planning, execution, and prioritization.
Mentor and develop engineers, fostering a collaborative, inclusive, and high-performance culture, while helping teams navigate differences of opinion and reach consensus effectively.
Actively identify and solve engineering and business challenges with autonomy, ensuring delivery of high-quality, scalable, and reliable data products on time and within scope.
---- Basic Qualifications ----
Proven experience as a Software Engineering Manager, leading high-performing teams in designing, building, and delivering critical data solutions at scale.
Extensive experience managing and mentoring engineers, fostering a collaborative and inclusive team culture.
Strong leadership and communication skills, with the ability to align diverse stakeholders and drive adoption of data solutions.
Demonstrated ability to work with product management and business partners to define vision, roadmap, and delivery priorities for analytics, reporting, and data platforms.
Deep technical expertise in distributed data systems, including ETL, logging, storage, data quality, and monitoring.
Proven track record of delivering high-quality data products on time and within scope, while driving engineering best practices across the team.
Passionate about coaching and developing engineers, creating an environment that fosters learning, accountability, and innovation.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
---- Preferred Qualifications ----
Experience creating and leading high-performing engineering teams, including mentoring and developing talent.
Deep expertise in data analytics, data modeling, and big data architectures.
Hands-on experience with distributed systems and data storage solutions, including fault-tolerant and multi-datacenter/cloud architectures.
Experience in FinTech or Payments industries, including projects with complex regulatory and compliance requirements.
Strong technical background with big data technologies (Hadoop, Hive, Spark, etc.), real-time data ingestion, and stream processing.
Experience designing and operating large-scale, reliable, and performant data platforms.
Advanced degree (Master's or PhD) in Computer Science, Engineering, or a related field is preferred.
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 .
Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.

Skills Required