Lead Software Engineer - Data/Payments Technology

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Digital & Platform Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

You will play a key role in building and evolving enterprise data products and strengthening our Data Engineering capabilities.

This role requires a strong hands-on Data Engineer with deep experience in the Databricks ecosystem, enterprise-scale data platforms, and modern data engineering practices.

You will contribute directly to solution design and implementation while providing technical leadership, establishing engineering patterns, and helping develop the broader team.

Job responsibilities



* Lead the design and development of scalable, reliable, and reusable enterprise data products.


* Provide hands-on technical leadership across solution design, implementation, code reviews, troubleshooting, and production readiness


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.


* Establish and promote effective Data Engineering patterns and standards across the team.


* Design solutions that support analytical, operational, reporting, and AI-driven use cases.


* Drive data quality, reliability, observability, governance, performance, and scalability across data products.


* Partner with architects, product teams, engineers, and data producers/consumers to translate business needs into sustainable data solutions.


* Mentor engineers and help build strong Data Engineering capability within the team.


* Identify opportunities to simplify platforms, improve engineering productivity, and increase reuse.

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 5+ years applied experience


* Minimum of 10+ years of software and/or data engineering experience building enterprise-scale solutions.


* Hands-on practical experience del...