Sr. Data Engineering Architect
About The Position
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.
Requirements
- Bachelor's degree, or equivalent work experience
- Eight or more years of relevant experience
- 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
- 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
- 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
- Experience with DataOps, observability, lineage, data quality, and operational support best practices
- Experience working in regulated environments with governance, security, and compliance considerations
- 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 accelerate delivery and improve quality
Responsibilities
- 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
- 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
- Architect batch, real-time, streaming, CDC, and event-driven data solutions
- Lead modernization efforts from legacy platforms to cloud-native environments
- Establish reusable frameworks, architecture patterns, and DataOps standards
- Ensure solutions meet requirements for scalability, reliability, security, compliance, and operational readiness
- Collaborate with product, engineering, data science, and business leaders to translate strategic objectives into technical solutions
- Influence architecture direction and technology adoption across teams
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
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What This Job Offers
Job Type
Full-time
Career Level
Senior
