Senior Data Developer - Assistant Vice President

Citi • New York, NY

8d • $121,200 - $181,800 • Onsite

About The Position

We are seeking a highly accomplished Java engineer to join our Realtime Risk Data team. This role is at the forefront of architecting, leading, and significantly enhancing our comprehensive real-time risk data acquisition, processing, and distribution framework. You will serve as a technical thought leader, driving the strategic adoption and implementation of cutting-edge streaming technologies such as Apache Kafka for high-throughput data ingestion, Apache Flink for complex event processing and real-time analytics, and Apache Pinot for ultra-low-latency OLAP queries on large datasets. You will also oversee the management of petabyte-scale datasets on S3, enabling efficient querying via Trino. This role demands deep technical expertise, a strategic mindset, and the ability to mentor and guide engineering teams in designing, developing, and optimizing mission-critical, high-performance real-time data solutions that directly impact global financial operations.

Requirements

• 6+ years of progressive experience in data engineering and software development, with a significant focus on building high-performance, large scale distributed systems.
• Expert-level command of Java (version 11 or higher) with a deep understanding of concurrent programming, multithreading, advanced OOP concepts, design patterns, and performance tuning.
• Proven, hands-on production experience and deep architectural understanding of: Apache Kafka or related technologies: For high-throughput, fault-tolerant message queuing and streaming.
• Apache Flink or related technologies: For advanced real-time stream processing, complex event processing (CEP), and stateful computations.
• Apache Pinot or related technologies: For ultra-low-latency OLAP queries on streaming data.
• Strong expertise in designing and implementing highly available, scalable, and resilient distributed systems.
• Extensive experience with large-scale data storage solutions (e.g., S3, HDFS) and distributed query engines (e.g., Trino/Presto, Spark SQL).
• Advanced SQL knowledge with experience in optimizing complex queries for large datasets.
• Demonstrated experience leading technical initiatives and teams within an Agile software development environment.
• Exceptional communication, analytical, and problem-solving skills, with the ability to articulate complex technical concepts to diverse audiences and drive consensus on architectural decisions.

Nice To Haves

• Experience with cloud-native data services on platforms like AWS, Azure, or GCP, particularly related to streaming and real-time analytics.
• Hands-on experience with containerization and orchestration technologies such as Kubernetes and OpenShift for deploying and managing real-time data applications.
• Experience in designing and implementing high-performance RESTful APIs and event-driven microservices architectures.
• Deep understanding and experience with performance tuning, profiling, and optimization of real-time streaming applications and data stores.
• Strong understanding of financial derivatives, fixed income products, and risk management concepts from a technical data perspective.
• A proven track record of mentoring junior to senior engineers, fostering technical growth, and building high-performing engineering teams.
• Experience with data governance, data quality, and security best practices in real-time data environments.
• Experience working effectively within a geographically distributed, global development team.

Responsibilities

• Serve as the principal architect for scalable, high-performance Java-based real-time data solutions, ensuring robust design for high availability, fault tolerance, and resilience for both real-time and EOD risk processes.
• Drive the strategic implementation and optimization of distributed stream processing frameworks (Apache Kafka, Apache Flink) and real-time data storage technologies (Apache Pinot) for ultra-low-latency analytics and complex event processing.
• Lead the end-to-end design, development, and operation of real-time streaming data pipelines, integrating with large-scale object storage solutions like S3 and analytics engines such as Trino.
• Champion continuous improvement in data reliability, efficiency, and scalability. Establish and enforce best practices for code quality, performance optimization, and system resilience through hands-on leadership and thorough peer code reviews. Mentor and technically guide senior and lead developers.
• Drive significant contributions across all phases of the Agile software development lifecycle, from architectural vision and detailed design to implementation, deployment, monitoring, and ongoing support for critical real-time data systems.
• Collaborate strategically with business analysts, product managers, quality assurance teams, and other engineering leads to ensure the delivery of seamlessly integrated, high-impact technology solutions that align with business objectives and architectural standards.
• Stay abreast of industry trends and emerging technologies in real time data processing, distributed systems, and cloud-native architectures, evaluating and proposing their adoption were beneficial.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior