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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.
Job Responsibility:
Responsible for build/test/deploy automation for managing workspaces, compute resources (clusters, serverless), and other related activities
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
Requirements:
Bachelor’s degree, or equivalent work experience
four to six years of relevant 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
Extensive Experience building and using automation pipelines using, GitLab or similar for CICD and Databricks Asset Bundles (DABs)
Practical understanding and experience with Databricks Platform Administration
Practical Experience Implementing automation and administering the Unity Catalog
Nice to have:
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
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
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
Proficient understanding of algorithms, data structures, architectural design patterns and best practices
Effective problem‑solving and analytical skills
What we offer:
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