Enterprise Data Architect

U.S. Bank

Enterprise Data Architect at U.S. Bank defining and evolving enterprise-wide data architecture strategy.

Posted 6/17/2026full-timeChicago • Colorado, Illinois, Minnesota, North Carolina • 🇺🇸 United StatesSeniorLead💰 $159,970 - $188,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Define and drive enterprise data architecture strategy
Establish target-state data platform architectures and standards aligned to business priorities.
Translate business requirements into scalable data architecture solutions.
Design and govern enterprise data ecosystems.
Architect data solutions and integration strategies across systems.
Ensure consistent access, integration, and consumption of data across platforms.
Lead data architecture governance and quality initiatives.
Define standards for data quality, metadata, master data, and lifecycle management.
Establish data governance policies, compliance controls, and security practices.
Drive platform and technology decisions.
Evaluate and recommend data platforms, tools, and emerging technologies.
Define standards for data integration, pipelines, and data services.
Collaborate across business, data, and technology teams.
Partner with stakeholders to align data architecture with enterprise objectives.
Act as a bridge between data strategy and technical execution.
Provide leadership and oversight.
Lead architecture reviews and ensure adherence to standards.
Support delivery teams through the product lifecycle.

Requirements

What you’ll need

Bachelor's degree, or equivalent work experience
Eight or more years of relevant experience
15+ years of experience in data architecture, delivering large-scale enterprise data solutions within agile environments.
Strong expertise in modern data architectures, including data lakes, data warehouses, data marts, and master data management.
Deep understanding of data governance, privacy, and security standards
Proven ability to design and implement scalable data platforms, frameworks, and architecture patterns.
Hands-on experience with leading data platforms such as Databricks, Snowflake, and enterprise data lakes.
Strong experience in solution architecture for cloud-based data platforms.
Experience in data integration, data processing, streaming, and messaging technologies.
Strong analytical, problem-solving, and organizational capabilities.
Excellent communication skills, with the ability to engage both technical and business stakeholders effectively.
Experience in the banking, wealth management, or financial services domain (preferred).
Exposure to multi-cloud environments, including AWS and Azure (preferred).
Knowledge of machine learning pipelines and data enablement for AI solutions (preferred).
Experience supporting AI-driven data product strategies (preferred).
Bachelor's degree in computer science or a related engineering discipline (preferred).
Relevant certifications in data management, cloud architecture, or engineering (preferred).

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata lakesdata warehousesdata martsmaster data managementdata governancedata integrationdata processingstreaming technologiescloud-based data platforms

Soft Skills

analytical skillsproblem-solvingorganizational capabilitiescommunication skillsleadershipcollaborationstakeholder engagement

Certifications

data management certificationcloud architecture certificationengineering certification