The Technology Lead Python Data Engineer is a senior engineering leadership role focused on building and evolving modern, scalable platforms for credit risk management. This position is part of a fast-moving Credit Risk Technology team that combines engineering, data, and AI to create impactful financial solutions. The role emphasizes hands-on development, system architecture, and technical leadership, particularly in microservices and cloud-native design. The successful candidate will work closely with various teams to ensure the delivery of high-performance and compliant systems.

• 10–15 years of experience in application development or systems engineering within complex environments.
• Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
• Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.
• Proven expertise designing and implementing microservices architectures.
• Strong experience with Docker and Kubernetes, deploying and operating containerized services in production.
• Deep understanding of system architecture, data flows, and distributed systems.
• Experience working in Linux environments, including shell scripting and operational troubleshooting.
• Strong track record implementing unit testing, TDD, and automated quality controls.
• Subject Matter Expert (SME) in at least one application, platform, or service domain.
• Working knowledge of large language models (LLMs) and modern AI platforms.

• Architect, design, and deliver scalable, Python-based applications supporting credit risk analytics, workflows, and reporting.
• Partner with risk, product, and technology leadership to integrate platforms and identify enhancements.
• Resolve high-impact, complex initiatives through deep analysis of business processes and system flows.
• Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints.
• Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.
• Design and evolve microservices-based architectures, ensuring scalability and maintainability.
• Apply AI and GenAI capabilities to modernize workflows and automate analysis.
• Serve as technical leader and mentor, coaching mid-level engineers and analysts.
• Apply sound risk and control judgment, ensuring compliance with laws and regulations.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.