Senior Real-Time Data Architect — Java & Streaming Lead

Citibank (Switzerland) AG; New York, Northern (NY, KY); Hybrid; USD 121,000 - 182,000; Full time

Job summary

Citibank (Switzerland) AG in New York is seeking a Senior Data Developer to architect and lead real-time data solutions using Java, Kafka, Flink, Pinot, and Trino. You will guide streaming pipelines, optimize performance, and mentor senior engineers in a hybrid New York environment.

The role emphasizes architectural leadership, distributed systems, and cloud-native data practices, with a focus on high-availability real-time risk data processing for global operations.

Qualifications

• 6+ years of experience in data engineering and software development.
• Expert-level Java (11+) with concurrency and multithreading expertise.
• Hands-on production experience with Kafka, Flink, Pinot for real-time data processing.
• Experience with S3/HDFS and distributed query engines (Trino/Presto).
• Agile leadership and mentoring of engineering teams.

Responsibilities

• Architect scalable, high-performance Java-based real-time data solutions with high availability and fault tolerance.
• Drive implementation and optimization of Kafka, Flink, and Pinot for low-latency analytics.
• Lead end-to-end real-time streaming data pipelines and integration with S3 and Trino.
• Mentor senior and lead engineers and enforce code quality and performance standards.
• Collaborate with analysts, product managers, and QA to deliver integrated tech solutions.

Skills

Java

Apache Kafka

Apache Flink

Apache Pinot

Trino

Distributed systems

SQL

Education

Master's degree in Computer Science or related field

Tools

Kubernetes

OpenShift

Trino/Presto

Job description

Citibank (Switzerland) AG in New York is seeking a Senior Data Developer to architect and lead real-time data solutions using Java, Kafka, Flink, Pinot, and Trino. You will guide streaming pipelines, optimize performance, and mentor senior engineers in a hybrid New York environment.

The role emphasizes architectural leadership, distributed systems, and cloud-native data practices, with a focus on high-availability real-time risk data processing for global operations.