JPMorgan Chase
Lead Software Engineer - Data/Payments Technology
Plano, TX · Full-time · Posted Sep 29, 2026
- Experience
- 5+ years of applied experience after formal training or certification; minimum 10+ years of software and/or data engineering experience building enterprise-scale solutions.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads hands-on design and delivery of scalable enterprise data products and platforms, while establishing engineering standards and guiding the team’s use of approved AI-assisted development tools.
What you'll do
- Design, build, and operate reliable, reusable enterprise data products and platforms.
- Provide technical leadership through solution design, implementation, code reviews, troubleshooting, and production readiness.
- Set data engineering and AI-assisted development practices, including validation standards, mentoring, and collaboration with stakeholders.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Minimum 10+ years of software and/or data engineering experience building enterprise-scale solutions.
- Deep hands-on experience with Databricks and distributed data processing technologies.
- Experience delivering production-grade data solutions, with strong programming, data engineering, data architecture, modeling, and integration fundamentals.
Nice to have
- Experience with modern enterprise data platforms, cloud-native architectures, real-time, analytical, or AI/ML data use cases, or regulated environments.
- Relevant Databricks, cloud, or Data Engineering certification.
Tools
Databricks
AI focus
Uses and leads adoption of approved AI-assisted engineering tools for coding, code review/refactoring, test acceleration, troubleshooting, and incident/root-cause analysis; establishes validation, security, and responsible-use practices. Designs data solutions for AI-driven use cases.
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