Senior Data Analytics Platform Engineer; Databricks

U.S. Bank is seeking a Sr. Dev Ops 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 CI/CD 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.

• Bachelor’s degree, or equivalent work experience, four to six years of relevant 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 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 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.

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

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