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.
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.
- 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.
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