Lead Software Engineer focusing on data and payments technology within JPMorgan Chase & Co.'s Commercial & Investment Bank – Digital & Platform Services team. This is an on-site, Plano, Texas-based role. The candidate will be a core technical contributor responsible for building and delivering trusted data products at scale, with deep hands-on experience in the Databricks ecosystem and enterprise-grade data platforms. You will contribute to solution design and implementation while providing technical leadership, establishing engineering patterns, and helping develop the broader Data Engineering team. Key responsibilities include leading the design and development of scalable, reliable enterprise data products; providing hands-on technical leadership across solution design, implementation, code reviews, troubleshooting, and production readiness; driving adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; promoting secure coding, automated testing, and reuse of patterns; implementing data engineering standards across the team; designing solutions for analytical, operational, reporting, and AI-driven use cases; driving data quality, reliability, observability, governance, performance, and scalability; partnering with architects, product teams, engineers, and data producers/consumers to translate business needs into sustainable data solutions; mentoring engineers to build strong Data Engineering capability within the team; and identifying opportunities to simplify platforms and increase productiv

Lead Software Engineer focusing on data and payments technology within JPMorgan Chase & Co.'s Commercial & Investment Bank – Digital & Platform Services team. This is an on-site, Plano, Texas-based role. The candidate will be a core technical contributor responsible for building and delivering trusted data products at scale, with deep hands-on experience in the Databricks ecosystem and enterprise-grade data platforms. You will contribute to solution design and implementation while providing technical leadership, establishing engineering patterns, and helping develop the broader Data Engineering team. Key responsibilities include leading the design and development of scalable, reliable enterprise data products; providing hands-on technical leadership across solution design, implementation, code reviews, troubleshooting, and production readiness; driving adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; promoting secure coding, automated testing, and reuse of patterns; implementing data engineering standards across the team; designing solutions for analytical, operational, reporting, and AI-driven use cases; driving data quality, reliability, observability, governance, performance, and scalability; partnering with architects, product teams, engineers, and data producers/consumers to translate business needs into sustainable data solutions; mentoring engineers to build strong Data Engineering capability within the team; and identifying opportunities to simplify platforms and increase productiv