Data Product Engineer Lead

U.S. Bancorp India; Chennai District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

U.S. Bancorp India is seeking an experienced data engineering leader to architect and deliver enterprise data products and platforms. You will set standards, guide technology choices across cloud ecosystems, and mentor engineers to drive scalable, secure solutions.

You will collaborate with business stakeholders to align roadmaps with outcomes, oversee delivery of critical data initiatives, and ensure governance and quality across the data stack.

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.

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.

Skills

Technical leadership

CI/CD / DevOps / DataOps

Engineering governance

Business alignment

Education

Bachelor's degree in Computer Science / IT / Engineering / Data Science

Tools

SQL

Python

Scala

Cloud Data Platforms

Snowflake

Databricks

Data Warehousing

Data Modeling

Distributed Processing Frameworks

CI/CD

Job description

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 Description

Roles & 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. - https://careers.usbank.com/global/en/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.