Lead Software Engineer - Data/Payments Technology

What you'll do

• Design, develop, and operate reliable, reusable enterprise data products, including improving data quality, governance, observability, performance, and scalability.
• Provide technical leadership through solution design, implementation, code reviews, troubleshooting, and production readiness; establish data engineering patterns and mentor engineers.
• Promote approved AI-assisted engineering practices with validation standards for correctness, performance, security, and responsible use.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• 10+ years of software and/or data engineering experience building enterprise-scale solutions.
• Hands-on experience with system design, application development, testing, operational stability, and Databricks and distributed data processing technologies.
• Advanced programming ability; strong data engineering fundamentals and experience building production-grade solutions and large-scale enterprise data platforms.

Nice to have

• Experience with modern enterprise data platforms, cloud-native architectures, real-time, analytical, or AI/ML-oriented data use cases, or regulated industries.
• Relevant Databricks, Cloud, or Data Engineering certification.

Tools

Databricks

AI focus

Leads adoption of approved AI-assisted engineering tools for coding, code review/refactoring, test acceleration, troubleshooting, and incident/root-cause analysis; sets validation and responsible-use practices.