MarTech Data Engineering & Application Lead, Vice President

Citi is seeking an experienced Application Development Lead to spearhead the architecture and delivery of intelligent, distributed systems at the heart of one of the world's premier financial institutions. In this role, you will lead an innovative engineering team within Citi Wealth Technology, driving strategic solutions across March Tech, AI driven personalization and Distributed Computing for our global wealth and private banking client base.

This role is structured as 20% technical leadership, team mentorship, and architectural governance, and 80% hands‑on systems design, prototyping, and core development. You will guide engineering squads, elevate development standards, and own end-to-end architecture across complex platform.

• Engineering Direction & Governance:
  Provide technical direction and architectural oversight of an engineering squad within Wealth Technology, ensuring adherence to enterprise design principles, scalability standards, and engineering best practices.
• Team Mentoring & Talent Development:
  Coach and mentor junior to mid-level engineers, conducting high‑impact code reviews, technical deep‑dives, and career growth coaching.
• Modern AI Engineering Practices:
  Drive team adoption of modern developer productivity tools, including AI coding agents (such as Git Hub Copilot and Devin), establishing frameworks for accelerated software delivery.
• Stakeholder Alignment & Solution Strategy:
  Partner with business leaders, product managers, and cross‑functional teams to translate strategic business requirements into robust, forward‑looking technical roadmaps using Jira, Confluence, and Git Hub.
• Security & Quality Governance:
  Champion Dev Sec Ops  principles, embedding automated testing, code quality, and security scanning (via Checkmarx, Snyk, Black Duck) across all CI/CD pipelines.

• Distributed & Event‑Driven Systems:
  Architect high‑throughput, fault‑tolerant event streams and data pipelines utilizing Apache Kafka, Apache Flink, and modern distributed streaming patterns.
• API & Backend Service Engineering:
  Design and implement resilient, low‑latency microservices and API gateways using FastAPI, Flask, or Spring Boot, backed by PostgreSQL and Redis.
• Cloud & Container Infrastructure:
  Deploy and manage resilient containerized applications on Kubernetes and Red Hat Open Shift, utilizing Helm charts, CI/CD automation (Jenkins, Tekton, Harness), and observability suites (Prometheus, Grafana, App Dynamics, Splunk).
• Embed security and code quality practices across the engineering lifecycle using tools such as Checkmarx, Snyk, and Black Duck, ensuring all solutions meet enterprise security and compliance standards.

• Experience:
  
  12+ years of progressive software engineering and application development experience, including experience acting as a technical lead or senior engineer within an agile delivery team.
• Core
  
  Languages:
  
  Deep hands‑on proficiency in Python and/or Java, with strong relational database design and complex querying skills in SQL.
• Distributed Systems & Messaging:
  Strong experience designing and consuming distributed event‑driven systems using Apache Kafka or Apache Flink.
• Cloud‑Native & Container Platforms:
  Proven track record building and deploying microservices on Kubernetes or Red Hat Open Shift, with cloud experience on AWS or GCP and container packaging using Helm.
• Data Architecture:
  Strong foundation in relational database management (e.g., PostgreSQL) and caching/in‑memory data stores (e.g., Redis).
• CI/CD & Dev Sec Ops :
  Working knowledge of automated CI/CD pipelines and security scanning tools (Checkmarx, Snyk, Black Duck).
• Education:
  
  Bachelor’s or Master’s degree in Computer Science,…