Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

Our Data Platform is the backbone of Fixed Income Capital Markets trading, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions.

Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.

We're seeking a passionate and highly skilled Lead Java Data Engineer to guide and mentor a talented team of engineers in building and maintaining Citi's next-generation data platform. If you're a natural leader with a deep understanding of Java, distributed systems, and a passion for pushing the boundaries of Big Data technology, we want to hear from you.

Responsibilities:

Technical Leadership: Provide technical leadership and mentorship to a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.
Architecture & Design: Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components that meet Citi's evolving business needs.
Open Source Expertise: Stay abreast of emerging open-source data technologies and evaluate their suitability for integration into Citi's platform.
Performance Optimization: Continuously identify and implement performance optimizations across the data platform to ensure optimal efficiency and responsiveness.
Collaboration & Communication: Partner closely with stakeholders across engineering, data science, and business teams to understand requirements and translate them into robust technical solutions.
Delivery & Execution: Drive the timely and high-quality delivery of data platform projects, adhering to agile methodologies and best practices.

Qualifications:

Java Expertise: Significant hands-on experience developing high-performance Java applications (Java 11+ preferred) with a strong foundation in core Java concepts, OOP, and OOAD.
Data Engineering Fundamentals: Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink. Familiarity with event-driven architectures and experience in developing real-time, low-latency applications is essential.
Distributed Systems: Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake.
Deployment & Orchestration: Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS.
Leadership & Communication: Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams.
Problem Solving & Analytical Skills: Excellent problem-solving skills and a data-driven approach to decision-making.

Preferred:

Previous experience at tier-1 investment banks or major financial institutions
Experience with real-time streaming analytics and low-latency system optimization

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Big Data Platform Senior Engineer