Senior Data Analytics Platform Engineer (Databricks)

Sr. DevOps Analytics Platform Engineer (Databricks Focus)

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 a Sr. DevOps Analytics Platform Engineer (Databricks focus) with a DevOps & 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 DevOps principles.

Essential Responsibilities

• Deep understanding of at least one major cloud provider (Azure or AWS) regarding networking (VNet/VPC, PrivateLink), 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, GitLab 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 workspaces, 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

Preferred Skills/Experience

• 3+ years of Databricks Experience
• 5+ years of Data Platform Experience
• 10+ years of Data Engineering related 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 DevOps 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 work in this domain relates to the team's objectives/deliverables, and how it contributes to overall business strategy
• Basic understanding of adjacent teams' business domains
• Ability to collaborate on all aspects of product development
• Technically proficient and able to define and fulfill solution requirements for end users
• Able to communicate processes and results with all parties involved in the product team, including engineers, product owners, scrum masters, third‑party vendors and customers
• Proficient understanding of algorithms, data structures, architectural design patterns and best practices
• Effective problem‑solving and analytical skills

This role requires working from a U.S. Bank location three (3) or more days per week.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.