Sr. Data Engineering 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** **Build the Future of Data & AI at Enterprise Scale** U.S. Bank is seeking a **Senior Data Engineering Architect** to lead a small team of Data Architects while defining and advancing the architecture strategy for modern data and AI platforms. This role combines people leadership, technical architecture, and strategic influence to help accelerate delivery of scalable data products, analytics capabilities, and AI-enabled solutions across the organization. As the architecture leader, you will partner with engineering, product, data science, and business stakeholders to establish target-state architectures, drive modernization initiatives, and develop a high-performing architecture team focused on delivering business outcomes. **What You'll Do** **Lead Architecture Strategy & Team Development** - Lead and mentor a team of Data Architects - Establish architectural standards, best practices, and target-state roadmaps - Guide architecture reviews and technology decisions across multiple initiatives **Own Data & AI Architecture** - Define and evolve enterprise data platform architecture, including lakehouse, domain-driven, and reusable data product patterns - Design scalable solutions supporting analytics, AI, and decision intelligence **Drive Platform Modernization** - Architect batch, real-time, streaming, CDC, and event-driven data solutions - Lead modernization efforts from legacy platforms to cloud-native environments **Enable Engineering Excellence** - Establish reusable frameworks, architecture patterns, and DataOps standards - Ensure solutions meet requirements for scalability, reliability, security, compliance, and operational readiness **Partner Across the Enterprise** - Collaborate with product, engineering, data science, and business leaders to translate strategic objectives into technical solutions - Influence architecture direction and technology adoption across teams **Basic Qualifications** - Bachelor's degree, or equivalent work experience - Eight or more years of relevant experience **Preferred Skills & Experience** **Data Platform & Architecture** - Experience designing enterprise-scale data platforms using Databricks, Snowflake, or similar technologies - Expertise in data architecture, data modeling, semantic layers, and reusable data product design - Strong background in batch and real-time data processing, streaming, ETL/ELT, CDC, and event-driven architecture **Cloud & Modern Engineering** - Hands-on experience with Azure and/or AWS - Strong understanding of scalability, reliability, performance, and cost optimization - Experience with containerization, Kubernetes, Docker, or hybrid/multi-cloud environments **Leadership & Influence** - Experience leading architects, engineers, or technical teams - Proven ability to influence technical direction across multiple teams and stakeholders - Strong communication, mentoring, and stakeholder management skills **Data Governance & Operational Excellence** - Experience with DataOps, observability, lineage, data quality, and operational support best practices - Experience working in regulated environments with governance, security, and compliance considerations **AI & Emerging Technologies** - Experience supporting ML and AI-enabled data platforms - Exposure to GenAI, LLMs, RAG architectures, ML lifecycle tooling, or AI-assisted development tools - Interest in using modern engineering workflows and automation to accele…