Sr Analytics Platform Engineer; Databricks

Overview

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.

Job Description

Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we’re one of the country’s most respected, innovative, ethical and successful financial institutions. We’re looking for people who want more than just a job — they want to make a difference! U.S. Bank is seeking an Sr.

Analytics Platform Engineer (Databricks focus) with a Dev Ops & Software Engineering skillset who will contribute toward the success of our technology initiative developing a modern analytics platform for the business. The candidate will be adept with the agile software development lifecycle and Dev Ops principles.

• Deep understanding of at least one major cloud provider (Azure or AWS) regarding networking (VNet/VPC, Private Link), storage (ADLS Gen2, S3), and IAM.

• Advanced Proficiency in at least one programming language.

• Extensive experience with Terraform and the Databricks Terraform Provider to manage workspace resources, clusters, and permissions

• Extensive Experience building and using automation pipelines using, Git Lab or similar for CICD and Databricks Asset Bundles (DABs) to deploy notebooks, libraries, and jobs

• Practical understanding and experience with Databricks Platform Administration and responsible for build/test/deploy automation for managing work spaces, compute resources (clusters, serverless), and other related activities

• Practical Experience Implementing automation and administering the Unity Catalog supporting centralized governance, fine-grained access control (catalog, schema, table, row, column) etc.

• Responsible for designing, developing, testing, operating and maintaining products

• Takes full stack ownership by consistently writing production‑ready and testable code

• Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs

• Performs analysis on failures, proposes design changes, and encourages operational improvements

• Makes sound design/coding decisions keeping customer experience in the forefront

• Takes feedback from code review and applies changes to meet standards

• Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures

• Accountable for ensuring all aspects of product development follow compliance and security best practices

• Exhibits relentless focus in software reliability engineering standards embedded into development standards

• Embraces emerging technology opportunities and contributes to best practices supporting the bank’s technology transformation

• Contributes to a culture of innovation, collaboration and continuous improvement

• Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation

Basic Qualifications

• Bachelor’s degree, or equivalent work experience

• four to six years of relevant experience

• 3 years of Databricks Experience

Preferred Skills/Experience

• Demonstrate strong understanding of the Data Engineering personas workflows, particularly around data ingestion and transformation, to ensure we build platform capabilities effectively support end‑to‑end analytics pipelines.

• Adept with agile software development lifecycle and Dev Ops principles

• Complete understanding of a feature, the users impacted, the flows impacted, and the feature’s purpose

• Thorough understanding of the Analytics Engineering domain, how…