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.

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.

• 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.

• 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.

• 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.

• Experience designing enterprise integration strategies across legacy and modern platforms.
• Proficiency with API management, messaging, and middleware technologies such as Kafka, Mule Soft, or IBM MQ.
• Strong understanding of synchronous and asynchronous integration patterns and service orchestration.

• Design and govern end‑to‑end data architectures across transactional, operational, and analytical systems.
• Strong knowledge of data architecture principles spanning relational, No
  
  SQL, 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.

• 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.