Lead Java Big Data Engineer Vice President

Job Summary

At Citi, we are at the forefront of financial technology, driven by a belief in the power of engineering to redefine our industry. We foster a culture where innovation, strategic thinking, and professional growth are paramount.

Join Citi's Oasys Financial team as a Vice President and Lead Engineer to spearhead a critical, multi-year data transformation. Oasys is Citi’s core sub-ledger system for theOver-the-Counter(OTC) business, and we are undertaking a strategic imperative to modernize its data architecture. This involves decommissioning our legacy Sybase IQ data warehouse and migrating toa state-of-the-artBig Data ecosystem.

We are seeking a visionary technical leader with deepexpertisein both Java and Big Data technologies to define the architecture, lead the execution, and deliver the next generation of our data and analytics platform.

Key Responsibilities

As the Vice President and Technical Lead for this transformation, you willbe responsible forthe overall technical vision and delivery:

• Architectural Leadership: Define the end-to-end architectural vision and technical roadmap for migrating from Sybase IQ to a modern Big Data platform, ensuring solutions are scalable, resilient, and secure.

• Big Data Strategy & Implementation: Lead the design, development, and deployment of robust, large-scale data processing pipelines using technologies like Apache Spark, Kafka, and distributed data stores.

• Data Migration Execution: Develop and execute a comprehensive, phased strategy for migrating petabytes of historical and transactional data from Sybase IQ, ensuring data integrity, minimal downtime, and zero business disruption.

• Java Application Integration: Oversee the design and development of Java-based microservices that interact with the new data platform, ensuring seamless integration with the broader Oasys application ecosystem.

• Team Leadership & Mentorship: Lead, inspire, and mentor a high-performing team of Java and Big Data engineers. Foster a culture of engineering excellence, innovation, and accountability.

• Stakeholder Management: Partner with global business leaders, product owners, and other senior technology managers to define requirements, manage expectations, and deliver solutions that drive significant business value.

• Hands-On Contribution: Remain deeply technical and contribute to coding, design, and architectural decisions, leading by example.

Qualifications

Required:

• Experience: 10+ years of progressive experience in professional software engineering, with at least 3 years in a technical leadership orarchitectrole.

• Java Expertise: Proventrack recordof designing and building complex, high-performance, scalable server-side applications using Java.

• Big Data Expertise: Deep, hands-on experience with the Big Data ecosystem, including mastery of Apache Spark, Hadoop (HDFS), and real-time data streaming with Kafka.

• Data Warehousing & Databases: Extensive experience with relational databases, data modeling, and data warehousing concepts.

• Leadership:Demonstratedexperience leading and mentoring technical teams and successfully delivering complex, large-scale data projects from concept to production.

• Education: Bachelor’s orMaster’s degree in Computer Science, Engineering, or a related quantitative field.

Preferred (Highly Desirable):

• Data Migration: Proven, hands-on experienceleadinga successful migration from a legacy data warehouse (e.g., Teradata, Netezza, Sybase IQ) to a modern Big Data platform.

• Cloud Data Platforms: Experience with cloud-native data services on platforms like AWS (EMR, S3, Glue), Google Cloud Platform (Dataflow,BigQuery), or Azure.

• Modern Java Ecosystem:Expertisein the Spring Boot framework,microservicesarchitecture, and containerization technologies (Docker, OpenShift).

• AI-Assisted Development: Experience using AI-powered development tools (e.g., GitHub Copilot, Claude, Devin) to accelerate development and improve code quality.

• Financial Domain: Knowledge of financial systems, particularly in trade processing, accounting, risk, or sub-ledger functions.

Why Join Us?

• Architectural Ownership: Own the technical strategy and architecture fora business-critical data transformation at one of the world's leading financial institutions.

• Strategic Impact: Your work will directly enable new analytical capabilities, improve performance, and reduce operational risk for a platform processing millions of trades daily.

• Leadership Opportunity: Build and lead a world-class engineering team, shaping its culture and technical direction.

• Career Growth: As a Vice President at Citi, you will have unparalleled opportunities for career advancement and access to extensive professional development resources.