Data Engineering Architect

Job Description

U.S. Bank is seeking a Data Engineering Architect to design and evolve modern data platforms that power enterprise data products, analytics, and AI-enabled solutions. Reporting to the Senior Data Engineering Architect, this role will help establish architecture standards, develop scalable platform patterns, and partner closely with engineering teams to deliver reliable, cloud-native data solutions.

This position is ideal for a hands‑on architect who enjoys solving complex technical challenges, building reusable frameworks, and enabling engineering teams to move faster through well‑designed, scalable architecture.

• Define and implement architecture patterns supporting lakehouse, medallion, and domain‑driven data platforms
• Drive adoption of scalable, cloud‑native data architecture and engineering best practices
• Design reusable data products, models, and semantic layers that support analytics and business outcomes

• Design batch, real‑time, streaming, CDC, and event‑driven data solutions
• Establish standards for scalability, performance, reliability, and resiliency
• Partner with engineering teams to translate business and technical requirements into architecture designs

• Support integration of AI, machine learning, and advanced analytics capabilities into data platforms
• Contribute to modern platform capabilities that enable AI‑ready data products and decision intelligence

• Create reusable frameworks, templates, architecture patterns, and best practices
• Support Data Ops capabilities including observability, data quality, lineage, and operational readiness
• Promote secure, scalable, and maintainable solutions aligned to enterprise standards

• Partner with product, engineering, architecture, and data science teams to support delivery of strategic data initiatives
• Provide technical guidance and architectural expertise across multiple projects and teams

• Bachelor’s degree, or equivalent work experience
• Eight or more years of relevant experience

• Experience designing modern data platforms using Databricks, Snowflake, or similar technologies
• Strong background in distributed data processing using Python, PySpark, SQL, and related technologies
• Experience designing batch, streaming, CDC, and event‑driven data solutions
• Knowledge of Kafka, Spark, and modern data integration patterns

• Experience with Azure and/or AWS cloud platforms
• Strong understanding of scalability, performance, resiliency, and cost optimization
• Experience designing enterprise‑scale technical solutions and architecture patterns

• Experience with medallion architecture, data modeling, semantic layers, and KPI standardization
• Familiarity with observability, data quality, lineage, SLAs, and operational support practices
• Understanding of governance, security, and enterprise architecture principles

• Exposure to ML lifecycle tools, feature stores, and AI‑enabled data platforms
• Familiarity with GenAI concepts, including LLM and RAG‑based use cases
• Experience with AI‑assisted development tools such as Git Hub Copilot is a plus

This role requires working from a U.S. Bank location three (3) or more days per week.

• 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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors…