Senior Data Modeler/Platform Engineer

US Bank

Hybrid

Quick summary

Work type
Hybrid
Location
Minneapolis, MNChicago, ILCincinnati, OHDenver, COCharlotte, NC
Salary
$119,765–$140,900 / yr
Posted
2 days ago
Closes
Jul 25, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k
This role $130k
$107k most similar roles pay here $235k

This role pays less than 91% of similar roles. Most pay $145,750–$221,000 — the shaded band above. At the midpoint, this role pays about $130k versus about $183k for comparable roles.

Based on 240 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 37 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 37 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Senior Data Modeler/Platform Engineer

U.S. Bank is hiring a Senior Data Modeler to join its technology team and drive successful data initiatives. This role involves developing database models to meet business requirements, defining data requirements and rules, implementing physical data modeling, and testing designs. The candidate will plan for data collection, cleansing, and normalization while ensuring data integrity across various applications. They will collaborate with transformation teams to ensure seamless communication of design elements and develop policies related to system development and support. Ideal candidates should have advanced expertise in SQL Server and experience modernizing legacy platforms to cloud architectures using AWS services like S3, RDS/Aurora, and Redshift. Hands-on skills in building data pipelines with Python or AWS Glue, enabling Power BI reporting on hybrid platforms, and supporting REST API development are essential. Familiarity with DevOps practices including CI/CD pipelines and containerization is also required.

What you'll do

  • Develops database models to meet business requirements and defines data requirements and business rules.
  • Implements physical data modeling, including collection methods, data cleansing, and normalization for enterprise decision-making.
  • Coordinates data models, dictionaries, and documentation across multiple applications to ensure consistency and integrity.
  • Partners with data transformation teams to communicate design effectively and ensures proper implementation of database solutions.
  • Develops policies and procedures related to the development and support of new and ongoing systems in a hybrid cloud environment.

What we're looking for

  • At least 8 years of IT experience with a focus on data modeling and database management.
  • Proficient in SQL Server (on-prem) and modernizing legacy systems to cloud-based architectures.
  • Experience building data pipelines and ETL/ELT workflows using Python, AWS Glue, or similar tools.
  • Practical knowledge of AWS data services like S3, RDS/Aurora, Redshift for scalable solutions.
  • Expertise in implementing hybrid connectivity and data movement between on-prem SQL Server and AWS.
  • Strong ability to enable Power BI reporting with a focus on performance optimization on cloud/hybrid platforms.

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