Senior Data Modeler/Platform Engineer

U.S. Bank • Minneapolis, MN

8d • Hybrid

About The Position

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. U.S. Bank is seeking a Senior Data Modeler with requirements analysis and data design experience to contribute toward the success of our technology initiatives. Develops database models to meet business requirements. Defines data requirements and business rules. Performs physical data modeling. Implements and tests database design. Plans for collection method, data cleansing, and normalization of enterprise data to support decision-making and reporting. Ensures integrity of data, software, and hardware. Coordinates data models, dictionaries, and other database documentation across multiple applications. Partners with data transformation teams to ensure design is properly communicated. Develops policies and procedures related to development and support of new and ongoing systems. Successful applicants will exemplify US Bank's ethical principles of uncompromising integrity, respect for others, accountability for decisions and actions, and good citizenship.

Requirements

• Bachelor's degree or equivalent work experience
• At least 8 years experience within a total information technology (IT) environment.
• At least 5 years experience with the development and implementation of logical and physical data models.
• At least 5 years experience with tools, facilities and techniques for managing and administering data.

Nice To Haves

• Advanced expertise in SQL Server (on-prem) and experience modernizing legacy data platforms to cloud-based architectures
• Hands-on experience building data pipelines and ETL/ELT workflows using tools like Python, AWS Glue, or similar
• Practical experience with AWS data services (S3, RDS/Aurora, Redshift) and designing scalable data lake or warehouse solutions
• Proven ability to implement hybrid connectivity and data movement between on-prem SQL Server and AWS (e.g., replication, migration, synchronization)
• Experience enabling Power BI reporting on cloud or hybrid data platforms with a focus on performance optimization
• Strong proficiency in C#, ASP.NET, and REST API development with experience supporting data-driven applications
• Familiarity with DevOps and deployment practices , including CI/CD pipelines, automation, and containerization (Docker/Kubernetes)

Responsibilities

• Develops database models to meet business requirements.
• Defines data requirements and business rules.
• Performs physical data modeling.
• Implements and tests database design.
• Plans for collection method, data cleansing, and normalization of enterprise data to support decision-making and reporting.
• Ensures integrity of data, software, and hardware.
• Coordinates data models, dictionaries, and other database documentation across multiple applications.
• Partners with data transformation teams to ensure design is properly communicated.
• Develops policies and procedures related to development and support of new and ongoing systems.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree