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Engineering Manager II, Data & ML Systems

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Uber

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As an Engineering Manager on the FinTech Data & ML Systems team, you will lead a team in designing, implementing, and scaling data and ML solutions for analytics, decision-making, and automation across FinTech. You will drive the architecture of data pipelines, feature stores, and platforms to enable machine learning and advanced analytics.

Job Responsibility:

  • Lead a high-performing team of data engineers and platform specialists in designing, implementing, and scaling data and ML solutions that power analytics, decision-making, and automation across FinTech
  • Drive the architecture and delivery of robust data pipelines, feature stores, and data platforms that enable machine learning and advanced analytics use cases
  • Collaborate closely with product managers, data scientists, and ML engineers to define and deliver reliable data and model workflows that support critical FinTech applications
  • Provide technical leadership in data architecture, ETL design, model training pipelines, and productionization of ML workflows
  • Identify opportunities to use data and ML to solve key business challenges, improve efficiency, and unlock new capabilities across payments, compliance, and financial systems
  • Promote a culture of technical excellence, encouraging best practices in system design, testing, observability, and maintainability across both data and ML domains
  • Mentor and develop engineers, fostering a collaborative, inclusive, and high-performance culture where teams can experiment, learn, and grow
  • Ensure reliability and scalability of FinTech data and ML systems through strong engineering discipline and well-defined operational practices

Requirements:

  • 10+ years of experience and proven experience as a Software or Data Engineering Manager, leading teams that deliver large-scale data infrastructure or platform solutions
  • Deep technical expertise in distributed data systems, including data ingestion, transformation, storage, and streaming
  • Working knowledge of machine learning workflows and supporting infrastructure (e.g., feature engineering, model training, deployment, and monitoring)
  • Strong leadership, communication, and cross-functional collaboration skills — especially when partnering with analytics, data science, and product teams
  • Demonstrated ability to set vision, define roadmaps, and deliver data-driven solutions that support analytics and ML applications
  • Passion for mentoring engineers and fostering an environment of learning, innovation, and accountability
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 10+ years of experience

Nice to have:

  • 9+ years of experience designing or supporting data and ML infrastructure, such as feature stores, model registries, or experimentation platforms
  • Hands-on familiarity with big data and orchestration technologies (e.g., Spark, Airflow, Flink, Kafka, or equivalent)
  • Understanding of ML operations (MLOps) and best practices for operationalizing models at scale
  • Experience in FinTech or Payments, especially in domains involving risk, fraud, compliance, or automation
  • Knowledge of data privacy, regulatory, and compliance requirements in financial systems
  • Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field

Additional Information:

Job Posted:
February 14, 2026

Work Type:
On-site work
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