Lead Software Engineer - Data/Payments Technology

Salary: $61,000 - 101,000 per year Requirements:

• Formal training or certification in software engineering concepts, with 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
• Experience leading the effective use of approved AI-assisted development tools, with the ability to set expectations for validating outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, resiliency, and security; experience coaching engineers on safe, compliant adoption
• Deep hands-on experience with Databricks and distributed data processing technologies
• Strong programming and Data Engineering fundamentals, including experience building production-grade data solutions
• Knowledge of data architecture, modeling, integration, and data product principles
• Experience designing and operating large-scale data platforms and products in complex enterprise environments
• Sound engineering judgment and ability to independently troubleshoot complex technical problems and influence solution direction
• Preferred: Experience with modern enterprise data platforms and cloud-native data architectures
• Preferred: Experience supporting real-time, analytical, or AI/ML data use cases
• Preferred: Experience delivering data solutions in financial services or another highly regulated environment
• Preferred: Relevant Databricks, cloud, or Data Engineering certification

• Lead the design and development of scalable, reliable, reusable enterprise data products
• Provide hands-on technical leadership in solution design, implementation, code reviews, troubleshooting, and production readiness
• Promote approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards and encourage reuse of effective patterns
• Apply software development lifecycle tools, including approved AI-assisted development and automation capabilities, to increase the value of automation
• Establish and promote effective Data Engineering patterns and standards across the team
• Design solutions for analytical, operational, reporting, and AI-driven use cases
• Strengthen data quality, reliability, observability, governance, performance, and scalability across data products
• Work with architects, product teams, engineers, and data producers and consumers to turn business needs into sustainable data solutions
• Mentor engineers and help grow the teams Data Engineering capabilities
• Identify ways to simplify platforms, improve engineering productivity, and increase reuse

• AI
• Cloud
• Databricks
• Security
• Support

More:

We are seeking a Lead Software Engineer for our Commercial & Investment Bank Digital & Platform Services team. In this role, you will help build and evolve enterprise data products and strengthen our Data Engineering capabilities, contributing to solution design and implementation while providing technical leadership and developing the broader team. JPMorganChase serves consumers, businesses, and institutional and government clients globally, with a history spanning more than 200 years. Our Commercial & Investment Bank operates across banking, markets, securities services, and payments, serving clients in more than 100 countries. We offer competitive total rewards and eligible employees may have access to health care, wellness, retirement savings, childcare, tuition, mental health, and financial coaching benefits. We value diversity and inclusion and provide reasonable accommodations for applicants and employees.

last updated 42 week of 2026