Lead Software Engineer - Data/Payments Technology
About The Position
As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Global Banking Sales Enablement team, you will contribute to an agile team building and delivering trusted, secure, stable, and scalable technology and data products. You will help build and evolve enterprise data products and strengthen Data Engineering capabilities. The role is hands-on, requiring deep experience with the Databricks ecosystem, enterprise-scale data platforms, and modern data engineering practices. You will contribute to solution design and implementation, provide technical leadership, establish engineering patterns, and help develop the broader team.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- At least 10 years of software and/or data engineering experience building enterprise-scale solutions.
- Practical experience delivering system design, application development, testing, and operational stability.
- Advanced proficiency in one or more programming languages.
- Demonstrated experience leading effective use of approved AI-assisted software development tools, including setting expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
- Deep hands-on experience with Databricks and distributed data processing technologies.
- Strong programming and Data Engineering fundamentals, with experience building production-grade data solutions.
- Strong understanding of data architecture, data modeling, data integration, and data product principles.
- Experience designing and operating large-scale data platforms and data products in complex enterprise environments.
- Strong engineering judgment and ability to independently troubleshoot complex technical problems and influence solution direction.
Nice To Haves
- Experience working with modern enterprise data platforms and cloud-native data architectures.
- Experience supporting real-time, analytical, or AI/ML-oriented data use cases.
- Experience delivering data solutions within financial services or another highly regulated environment.
- Relevant Databricks, Cloud, or Data Engineering certification.
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.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting effective patterns.
- Apply knowledge of Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
- Establish and promote effective Data Engineering patterns and standards across the team.
- Design solutions supporting 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 and consumers to translate business needs into sustainable data solutions.
- Mentor engineers and help build Data Engineering capability within the team.
- Identify opportunities to simplify platforms, improve engineering productivity, and increase reuse.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
