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# Software Engineering Director 1- Enterprise Architecture

- **Company:** U.S. Bank
- **Location:** Englewood, CO, United States
- **Experience:** Expert
- **Salary:** $159,970.0 - $188,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Automation of Tests, Microsoft Azure, Business Process Modeling, Software as a Service, Cloud Computing, Code Review, Data Governance, Extract Transform Load (ETL), Data Transformation, Distributed Systems, Information Technology Operations, Python (Programming Language), Release Management, Secure Coding, Software Engineering, Snowflake, Build Management, Kubernetes, Infrastructure Automation Frameworks, Data Analytics, Data Pipelines, Docker, Databricks, Programming Languages, Microservices
- **Published:** September 25, 2026
- **Apply:** https://dejobs.org/x/x/4555162664FD4130A143936001BD01BE/job/

## About the Role

* Bachelor's degree, or equivalent work experience
 * Eight or more years of relevant software engineering experience
 * Five or more years of experience leading a software engineering team

Required Qualifications

 * Hands-on experience with AI technologies (e.g. Claude Code) and modern programming languages
 * Experience with cloud platforms (Azure and/or AWS)
 * Experience with data modeling, data pipelines, and analytics platforms
 * Deep understanding of distributed systems and scalable architecture patterns
 * Proficiency in Python and microservices-based development
 * Experience with Docker, Kubernetes, and Infrastructure as Code tools
 * Demonstrated technical leadership and mentoring experience

Preferred Qualifications

 * Experience with Architecture and Process Modeling solutions
 * Background in financial services or other highly regulated industries

## Description

Software Engineering Director will lead the design, development, implementation, and operationalization of U.S. Bank's enterprise architecture operations, tooling, and technology intelligence capabilities. As a member of the Enterprise Architecture team, this role partners closely with architecture and technology stakeholders to streamline processes, enhance IT operations, and deliver meaningful technology intelligence that supports enterprise strategy, planning, and operational efficiencies. The ideal candidate combines strong technical expertise in AI, Python, data modeling, ETL, cloud technologies (AWS), SaaS-based architecture tooling, and process automation with strategic vision and hands-on execution. This leader drives enterprise-grade solutions to complex technology challenges, fosters engineering excellence through strong coding and design practices, develops technical talent, and builds effective stakeholder relationships to remove organizational barriers and advance
cross-functional strategic initiatives., Product and Technical Leadership

 * Lead and mentor a product team of engineers
 * Translate business requirements into scalable, secure, and resilient technical solutions
 * Partner with stakeholders across product, business, risk, and security functions

Process Engineering

 * Redesign architecture operational processes and build automations using AI, process tooling and code
 * Build automations to collect business process data and enable an enterprise process intelligence repository
 * Build and deploy process automation solutions on the cloud and with SaaS products

Data and Meta Model Engineering

 * Design and implement an enterprise meta model graph that acts as a "digital twin" of U.S. Bank's IT operations
 * Leverage data transformation tool (e.g. VaultSpeed) to transform data into consumable data products (e.g. gold and silver layers)
 * Integrate and leverage with data analytics capabilities such as Data Bricks and Snowflake

Software Engineering & Architecture

 * Develop scalable, maintainable applications using Python and microservices-based architectures
 * Apply secure coding standards and robust data handling practices for regulated environments
 * Build and manage CI/CD pipelines supporting automated testing, deployment, and release management
 * Enforce engineering best practices including code reviews, testing, and documentation

Architecture Tooling and Intelligence

 * Implement, configure, and augment Enterprise Architecture and Process Mining tooling
 * Analyze and redesign architecture processes


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