Enterprise Data Architect

US Bank

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, ILAtlanta, GAHopkins, MNEnglewood, COCharlotte, NC
Salary: $159,970–$188,200 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k

This role $174k

$128k most similar roles pay here $223k

This role pays less than 51% of similar roles. Most pay $137,100–$211,200 — the shaded band above. At the midpoint, this role pays about $174k versus about $174k for comparable roles.

Based on 239 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 34 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Enterprise Data Architect

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The Enterprise Data Architect role at U.S. Bank is a senior position within the Enterprise Architecture team, focusing on defining and leading the enterprise-wide data architecture strategy to support business objectives. This individual will design modern, scalable, and secure cloud-based data ecosystems, translating complex business requirements into technical solutions. Responsibilities include establishing data platform architectures, ensuring consistent data access across systems, and driving governance initiatives for data quality and security. The ideal candidate has extensive experience in large-scale enterprise data solutions, expertise with platforms like Databricks and Snowflake, and a deep understanding of cloud-based data integration technologies. With a focus on the financial services domain, this role requires strong analytical skills and the ability to communicate effectively with both technical teams and business stakeholders.

Skills

Databricks Snowflake AWS Azure Data Lakes Data Warehouses Data Marts Master Data Management Data Governance Data Privacy Data Security Cloud-Based Data Platforms Data Integration Data Processing Streaming Technologies Messaging Technologies CI/CD Multi-Cloud Environments Machine Learning Pipelines

What you'll do

Define and drive enterprise data architecture strategy aligned with business priorities.
Design scalable data solutions and integration strategies across systems.
Establish standards for data quality, metadata management, and lifecycle governance.
Evaluate and recommend data platforms and tools to support strategic objectives.
Lead architecture reviews and ensure adherence to established data governance policies.

What we're looking for

15+ years of experience in data architecture for large-scale enterprise solutions.
Expertise in modern data architectures including data lakes and warehouses.
Deep understanding of data governance, privacy, and security standards.
Proven ability to design scalable data platforms and frameworks.
Hands-on experience with leading cloud-based data platforms like Databricks and Snowflake.
Strong analytical skills and effective communication with both technical and business stakeholders.
Experience in data integration, processing, streaming, and messaging technologies.

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