Software Engineering Manager (Data Platform)

U.S. BankAtlanta, GA
1dOnsite

About The Position

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, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. 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. Try new things, learn new skills and discover what you excel at—all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. Job Description Focuses on technological solution delivery by guiding and inspiring strong coding practices and solid software design decisions among their team. Responsible for growing and mentoring engineers as it relates to technical skills and career development. Assists with cross-team strategic efforts, influencing decisions to achieve efficient delivery of business value. Understands cross-team technical roadmaps, advocating new product abilities based on technical strategy and constraints. You will lead teams responsible for: Data Platform delivery (batch/streaming pipelines, governance, reliability, cost optimization) MDM (Master Data Management) platforms and services (trusted master records, stewardship workflows, integrations) API and service enablement (REST required; GraphQL a plus)

Requirements

  • Bachelor's degree, or equivalent work experience
  • Six to eight years of relevant technical experience
  • Five or more years of leading a software engineering team

Nice To Haves

  • Strong experience leading delivery for large, complex, distributed systems, including prior hands‑on work building data platforms
  • Strong experience with data platform technologies: Databricks, Snowflake, Spark, Delta Lake, SQL/Python notebooks, Jobs/Workflows (Airflow), and governance tooling (e.g. Unity Catalog, Collibra, Purview)
  • Proficiency in at least one backend programming language (e.g., Java, Scala, Python, Go)
  • Demonstrated experience in data pipeline design (ETL/ELT) and performance/cost tuning in cloud environments (Azure/AWS/GCP)
  • Strong security and compliance awareness (e.g., SOC2/PCI/GLBA/GDPR/CCPA concepts): access control, encryption/tokenization, PII handling, auditability
  • Experience with REST API architecture and service delivery; ability to guide microservices patterns and API governance
  • Strong CI/CD and DevOps experience, including automation, release practices, and operational excellence; familiarity with observability tools (Datadog, Prometheus, Grafana).
  • Excellent stakeholder management and communication skills; ability to lead through influence across engineering and business partners.
  • Fintech or highly regulated industry experience (payments, lending, risk, fraud, compliance) would be a huge plus
  • Experience guiding teams delivering AI/ML/LLM/agent solutions, with emphasis on reliability, privacy, monitoring, and guardrails would be a huge plus

Responsibilities

  • People Leadership, Delivery & Cross-Team Alignment Manage, mentor, and develop a team of software engineers and senior engineers; support growth through coaching, feedback, and career development
  • Own execution against quarterly/annual goals; balance speed, quality, reliability, and cost
  • Oversee onshore/offshore delivery models: establish standards, code review practices, SLAs, and delivery cadences; delegate effectively while maintaining accountability
  • Communicate progress, risks, and tradeoffs clearly to technical and non-technical stakeholders
  • Evangelize Data Platform, MDM, and API capabilities to internal/external stakeholders, helping teams understand available offerings, best practices, and how to effectively consume platform services
  • Drive alignment across dependent teams (Data Science, Analytics, Infra, Security), and partner cross-functionally with Product, Risk/Compliance, Security, and Finance
  • Data Platform Guide the design, development, and evolution of large-scale data platforms (ingestion, processing, storage, serving layers)
  • Own data platform workloads (SQL, Python, Spark, Delta Lake): design/optimize pipelines, notebooks, jobs, clusters, and workflows
  • Guide architectural decisions for batch and streaming systems (e.g., Kafka/Event Hubs), data lake/warehouse patterns, and analytics platforms
  • Ensure platforms are scalable, reliable, secure, observable, and cost-efficient
  • Drive continuous improvement: reduce toil, improve developer experience, and accelerate time-to-value
  • Enable real-time serving layer through APIs by providing technical leadership for enterprise-grade REST APIs (required) and GraphQL (preferred)
  • Guide teams building microservices (Spring Boot) and establish API standards: versioning, documentation, reliability, and performance
  • Ensure API security best practices (authN/authZ patterns, least privilege) and alignment with gateway standards
  • MDM (Master Data Management) Ownership Lead and manage the team responsible for MDM platforms and services
  • Ensure creation and stewardship of trusted master data, data quality, and consistency across systems
  • Partner with business and governance teams to define domain ownership, stewardship workflows, and lifecycle management
  • Ensure effective integration of MDM with data platforms, operational systems, and APIs

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
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service