Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
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.
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.
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.
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.
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.
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Technology
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Applications Development
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Full time
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Please see the requirements listed above.
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For complementary skills, please see above and/or contact the recruiter.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
