Lead Platform Engineer

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.

About the role

U.S. Bank is seeking a Software Engineer who will contribute toward the success of our technology initiatives in our digital transformation journey. Lead the design, development, and operational excellence of our enterprise Dataflow platform — a self-service data pipeline orchestration system built on Apache Airflow, Spark, and Flink running on Azure Kubernetes Service. You'll own the platform end-to-end: from the React UI and Node.js API layer through DAG generation, Spark/Flink job execution, and ADLS landing zones.

Responsibilities

• Architect and evolve the Dataflow platform (Airflow 3.x, SparkKubernetesOperator, FlinkKubernetesOperator)
• Lead a team of 3-5 engineers; mentor, review code, set technical direction
• Design and implement CDC streaming pipelines (Flink) and batch ELT pipelines (Spark)
• Own Kubernetes deployment patterns — Helm charts, pod templates, resource tuning on AKS
• Build and maintain the self-service UI (React/Vite) and API server (Node.js/Express)
• Drive reliability: monitoring, alerting, SLA enforcement, auto-retry, and incident response
• Collaborate with platform teams on networking (Istio egress), secrets (Vault), storage (ADLS Gen2)
• Manage CI/CD pipelines (GitLab) and container image builds for Airflow/Spark/Flink
• Define data quality frameworks (Great Expectations, custom DQ rules)

Requirements

• Bachelor’s degree, or equivalent work experience
• Six to eight years of relevant experience

Skills

• 7+ years in data engineering; 2+ years in a lead/senior role
• Deep expertise in Apache Airflow (DAG authoring, custom operators, KubernetesExecutor)
• Production experience with Apache Spark (PySpark/Scala) and/or Apache Flink
• Strong Kubernetes skills (Helm, CRDs, pod lifecycle, resource management)
• Azure ecosystem: ADLS Gen2, AKS, ACR, Azure AD/Entra
• Proficiency in Python and SQL; working knowledge of JavaScript/TypeScript (React, Node.js)
• Experience with GitLab CI/CD or equivalent
• Excellent communicator who can translate business requirements into platform capabilities

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

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

Pay

Pay Range: $126,820.00 - $149,200.00