Lead Solutions Architect

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  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. Bank 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

Position Overview

Responsible for defining and guiding end-to-end technology solutions that align with business strategy, regulatory requirements, and enterprise architecture direction. This role partners closely with business, product, and engineering leaders to design scalable, secure, and resilient architectures that support core banking operations, digital transformation, and customer experience initiatives.

Core Responsibilities

• Design and evolve enterprise-grade architectures for banking platforms, including core banking, payments, and digital channels
• Act as a strategic bridge between business objectives and technology execution
• Evaluate and recommend technologies, platforms, and integration approaches aligned to enterprise standards
• Ensure compliance with banking regulations, data privacy laws, and security standards
• Provide architectural leadership and guidance throughout solution delivery
• Communicate architecture decisions clearly through diagrams, documentation, and executive-ready presentations
• Support the evolution of end-to-end data architectures, including domain-aligned data products, shared data services, and analytical platforms

Top Technical Requirements

• Architecture Design

Expertise in designing scalable, secure, and high-performance architectures for banking systems

Strong proficiency in microservices-based architectures, event-driven systems, and API-first design

Ability to define architectural standards, patterns, and guardrails that enable consistency across teams while supporting innovation

• Cloud Technologies

Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud

Strong understanding of cloud-native services, containerization, Kubernetes, and serverless architectures

Ability to design hybrid and multi-cloud solutions that meet security, resiliency, and regulatory requirements

• Integration and Middleware

Experience designing enterprise integration strategies across legacy and modern platforms

Proficiency with API management, messaging, and middleware technologies such as Kafka, MuleSoft, or IBM MQ

Strong understanding of synchronous and asynchronous integration patterns and service orchestration

• Data Management
  • Design and govern end‑to‑end data architectures across transactional, operational, and analytical systems.
  • Strong knowledge of data architecture principles spanning relational, NoSQL, and cloud‑native data stores.
  • Experience designing architectures that enable multi‑cloud data interoperability, supporting seamless data sharing and integration across platforms such as Azure, AWS, and Snowflake while minimizing data duplication and lock‑in.
  • Deep understanding of data modeling techniques (conceptual, logical, and physical), including canonical models and domain‑specific data models.
  • Experience with data warehousing, ETL/ELT processes, lakehouse patterns, and large‑scale analytical platforms.
  • Ability to define and govern domain‑aligned data products and data contracts, enabling discoverability, reuse, and trusted consumption across business domains.
  • Partner with enterprise data governance teams to incorporate metadata, lineage, data quality, and access controls into solution and platform designs.
• Artificial Intelligence and Intelligent Solutions

Understanding of AI and ML capabilities applicable to banking use cases such as customer insights, financial guidance, fraud detection, and operational efficiency

Ability to evaluate AI-driven solutions and integrate them responsibly into enterprise architectures

Strong focus on scalability, explainability, security, and regulatory compliance for AI-enabled systems

Additional Skills and Competencies

• Security, Risk, and Compliance

Strong understanding of security principles, encryption, authentication, and data protection mechanisms

Ability to design solutions compliant with regulatory frameworks such as PCI DSS, GDPR, and SOX

• Technology Evaluation and Modernization

Experience leading modernizatio