Hybrid Senior Analytics Platform Engineer, Databricks

Posted 3 weeks ago

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About the role

  • Sr. Analytics Platform Engineer at U.S. Bank developing a modern analytics platform with a focus on Databricks and DevOps principles. Contributing to technology initiatives and agile software development.

Responsibilities

  • Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate
  • U.S. Bank is seeking an Sr. 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

Requirements

  • Bachelor’s degree, or equivalent work experience
  • four to six years of relevant experience
  • 3+ years of Databricks Experience
  • 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

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

Job title

Senior Analytics Platform Engineer, Databricks

Job type

Experience level

Senior

Salary

$132,260 - $155,600 per year

Degree requirement

Bachelor's Degree

Location requirements

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