Senior Lead Architect

Wilmington, DE · New York, NY · Jersey City, NJFull-timePosted Jul 27, 2026

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.

As a Senior Lead Architect at JPMorgan Chase within Consumer Banking, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains.

 

Job Responsibilities:

  • Partner with Card Cobrand product leaders to define and deliver end-to-end solutions supporting the Amazon cobrand partnership.
  • Own solution architecture from concept through approvals and execution, collaborating closely with engineering to drive delivery.
  • Translate business, partner, and marketing/customer-engagement requirements into scalable technical designs and integration patterns.
  • Set the product’s technical target state and roadmap; align multi-team initiatives to achieve the strategy.
  • Lead stakeholder management across business, technology, and partner-facing groups; propose options and tradeoffs for current and future needs.
  • Ensure architectures meet security, privacy, and compliance requirements; embed best practices for data protection and resiliency.
  • Produce and maintain architecture artifacts (diagrams, design specs, decision records) to support implementation and governance.
  • Evaluate and recommend technologies/vendors (external and internal) to improve capability, time-to-market, cost, and operability.
  • Drive engineering excellence: hands-on problem solving, design/code quality guidance, troubleshooting, and automation to improve stability and performance.
  • Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.
  • Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.

 

Required Qualifications, Capabilities, and Skills:

  • Obtain a Bachelors Degree with 5 plus years of experience in  technical architecture/engineering leadership. 
  • Formal software engineering training/certification plus 5+ years of applied experience delivering production systems.
  • Ability to evaluate current and emerging technologies for future-state architecture; strong communication/influencing skills; excellent analytical/problem-solving skills; UML/C4/TOGAF and AWS certification are pluses.
  • Proven experience designing microservices in cloud/distributed environments (cloud-native; AWS preferred).
  • Strong background architecting highly scalable, fault-tolerant distributed systems, with reliability and performance focus.
  • Experience designing and building data processing pipelines (batch and streaming).
  • Strong hands-on coding experience across backend and frontend, including Java and/or Python and modern UI frameworks (React or Angular); able to make sound UI architecture decisions.
  • Hands-on delivery across the SDLC (design, development, testing, release, operations); strong automated end-to-end and performance testing discipline.
  • Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements.
  • Advanced Agile/DevOps practices including CI/CD, application resiliency, and security-by-design.
  • Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.

 

Preferred Qualifications, Capabilities, and Skills:

  • Experience in modeling languages like UML or C4 model and knowledge of EA frameworks like TOGAF is preferable
  • AWS Certification preferred
  • Advanced in one or more programming languages like Java, Python

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