Java Big Data Engineering Lead Markets Technology SVP

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

Java & Big Data Engineering Lead – Markets Technology, SVP

Lead the engineering strategy behind mission-critical trading, risk, and analytics platforms as a Java & Big Data Engineering Lead within Citi's Markets Technology organization. In this role, you will architect and scale high-performance Java and Big Data platforms that power real-time analytics, AI-enabled solutions, and regulatory reporting across the Markets business. You will lead multiple engineering teams, shape cloud and data architecture strategy, and drive modernization initiatives that support business growth at global scale.

Responsibilities

• Define and execute the engineering roadmap for Java, Python, cloud-native, and Big Data platforms to align technology delivery with business objectives.
• Lead multiple engineering teams building Java applications, API platforms, microservices, and enterprise data services that support trading, risk, and analytics workflows.
• Architect high-performance, low-latency systems that keep critical trading and operational platforms reliable under heavy volume.
• Build enterprise-scale Big Data ecosystems using Spark, Kafka, Flink, Hadoop, Iceberg, Delta Lake, Pinot, and Trino to support real-time streaming and large-scale batch processing.
• Partner with business stakeholders to enable advanced analytics, AI and machine learning initiatives, and regulatory reporting through data-driven platforms.
• Set enterprise standards for data governance, lineage, metadata management, and data quality across engineering teams.
• Champion modern engineering practices including DevSecOps, CI/CD automation, and observability to strengthen platform reliability.
• Mentor senior engineers, architects, and engineering managers to build high-performing teams capable of delivering complex global programs.

Required Qualifications & Skills

• 10+ years of experience in software engineering, with extensive experience leading Java application development and engineering teams within a large-scale enterprise environment.
• Deep expertise in Java, Spring Boot, Python, APIs, and microservices architectures.
• Hands-on knowledge of building and scaling Big Data technologies such as Spark, Kafka, the Hadoop ecosystem, Iceberg, Delta Lake, Databricks, Snowflake, and Trino.
• Background delivering high-volume, low-latency, mission-critical platforms in a regulated financial services environment.
• Experience supporting AI and machine learning data pipelines, feature stores, and enterprise-scale analytics solutions.
• Proven background architecting high-performance, low-latency systems for trading, risk, or analytics platforms.
• Track record driving cloud transformation, automation, and modernization programs across engineering organizations.
• Experience leading and mentoring senior engineers, architects, and engineering managers.
• Background establishing engineering standards, architecture governance, and design review practices.
• Experience partnering with business stakeholders to translate requirements into scalable data and analytics solutions.
• Bachelor's degree or university degree in a related field or Master's degree.

What We Offer

Joining Markets Technology means shaping the future of data and analytics platforms that power global trading, risk, and regulatory decision-making at Citi.

• Shape enterprise architecture and engineering strategy with direct influence over Citi's Markets Technology platforms.
• Work a hybrid schedule, spending three days in the office and two days working remotely each week.
• Lead and develop high-performing global engineering teams.
• Access learning and development opportunities to deepen expertise in cloud, Big Data, and AI-enabled platforms.
• Benefit from financial wellbeing programs designed to support long-term planning.
• Collaborate with engineering and business teams across Citi's global Markets organization.

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.

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