Senior Java & Big Data Engineering Lead — Hybrid (Markets Tech)

Citi; Rutherford (NJ); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work schedule

Global engineering teams

Learning & development

Financial wellbeing programs

Job summary

Citi, Markets Technology, seeks a Java & Big Data Engineering Lead to drive the strategy and architecture of mission-critical trading, risk, and analytics platforms. You will lead multiple engineering teams, shape cloud and data architecture, and steer modernization initiatives for global scale.

The role emphasizes low-latency, high-volume systems, enterprise data governance, and collaboration with business stakeholders to deliver AI-enabled analytics and regulatory reporting.

Qualifications

• 10+ years of software engineering experience leading Java app development and engineering teams.
• Deep expertise in Java, Spring Boot, Python, APIs, and microservices architectures.
• Hands-on Big Data tech: Spark, Kafka, Hadoop ecosystem, Iceberg, Delta Lake, Databricks, Snowflake, Trino.

Responsibilities

• Define and execute the engineering roadmap for Java, Python, cloud-native, and Big Data platforms.
• Lead multiple teams building Java apps, API platforms, microservices, and data services for trading, risk, and analytics.
• Architect high-performance, low-latency systems for critical trading/operational platforms.

Skills

Java development

Spring Boot

Python

APIs

microservices

Cloud transformation

DevSecOps

CI/CD automation

observability

Mentoring

Spark

Kafka

Hadoop

Databricks

Snowflake

Trino

Delta Lake

Education

Bachelor's degree

Master's degree

Job description

Citi, Markets Technology, seeks a Java & Big Data Engineering Lead to drive the strategy and architecture of mission-critical trading, risk, and analytics platforms. You will lead multiple engineering teams, shape cloud and data architecture, and steer modernization initiatives for global scale.

The role emphasizes low-latency, high-volume systems, enterprise data governance, and collaboration with business stakeholders to deliver AI-enabled analytics and regulatory reporting.