Data Product Engineer Lead

Posted 5 Days Ago
Be an Early Applicant
Chennai, Tamil Nadu, IND
In-Office
Senior level
Fintech
The Role
Leads the architecture, design, and delivery of enterprise data products and domain data assets. Establishes engineering standards, frameworks, governance, reliability, observability, and security practices. Guides cloud and data platform decisions, translates business priorities into technical roadmaps, mentors engineers, supports hiring, and drives modernization, cost optimization, and technical debt reduction. Builds trusted data products for AI, machine learning, and advanced analytics.
Summary Generated by Built In

At U.S. Bancorp India, we’re on a journey to do our best. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bancorp India gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job DescriptionRoles & Responsibilities
  • Lead architecture, design, and implementation of enterprise data products and domain data assets.
  • Establish engineering standards, design patterns, reusable frameworks, and development best practices.
  • Guide technology decisions across cloud, data platform, integration, and analytical ecosystems.
  • Review solution designs for scalability, resiliency, maintainability, and security.
  • Partner with Data Product Leads and business stakeholders to define priorities and execution plans.
  • Translate business outcomes into technical implementation roadmaps.
  • Lead delivery of strategic data products supporting enterprise data initiatives.
  • Ensure products meet functional, performance, quality, and governance requirements.
  • Mentor and coach engineers across technical and professional development areas.
  • Support hiring, onboarding, skill development, and succession planning.
  • Drive engineering excellence through code reviews, design reviews, and quality assurance practices.
  • Foster a culture of innovation, accountability, and continuous learning.
  • Drive platform optimization, cost management, observability, automation, and reliability initiatives.
  • Collaborate with enterprise architecture and platform teams on long-term technology roadmaps.
  • Establish monitoring frameworks for data reliability and service-level expectations.
  • Ensure compliance with regulatory, risk, privacy, and security requirements.
  • Lead development of trusted data products supporting AI, machine learning, and advanced analytics.
  • Drive adoption of feature stores, semantic models, and analytical datasets.
  • Manage technical debt and modernization strategies across data product portfolios.
Experience / Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.
  • 8+ years of progressively responsible experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.
  • 3+ years of technical leadership experience leading engineering teams or strategic initiatives.
  • Expert-level experience with:
  • SQL
  • Python and/or Scala
  • Cloud Data Platforms
  • Snowflake
  • Databricks
  • Data Warehousing
  • Data Modeling
  • Distributed Processing Frameworks
  • Experience delivering enterprise-scale cloud data solutions.
  • Strong knowledge of CI/CD, Agile, DevOps, DataOps, and engineering governance frameworks.
  • Demonstrated ability to influence technical strategy and align engineering execution with business outcomes.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Posting may be closed earlier due to high volume of applicants.

This is an U.S. Bancorp India posting. U.S. Bancorp India is a part of the U.S. Bank family.

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline
  • 8+ years of progressively responsible experience in Data Engineering, Analytics Engineering, or Data Platform Engineering
  • 3+ years of technical leadership experience leading engineering teams or strategic initiatives
  • Expert-level experience with SQL
  • Expert-level experience with Python and/or Scala
  • Expert-level experience with cloud data platforms
  • Expert-level experience with Snowflake
  • Expert-level experience with Databricks
  • Expert-level experience with data warehousing
  • Expert-level experience with data modeling
  • Expert-level experience with distributed processing frameworks
  • Experience delivering enterprise-scale cloud data solutions
  • Strong knowledge of CI/CD, Agile, DevOps, DataOps, and engineering governance frameworks
  • Ability to influence technical strategy and align engineering execution with business outcomes

US Bank Compensation & Benefits Highlights

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

  • Retirement Support The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
  • Leave & Time Off Breadth Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
  • Healthcare Strength Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.

US Bank Insights

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The Company
HQ: Minneapolis, MN

What We Do

We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.

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