VP Lead Big Data Engineer - Risk Analytics

Barclays; Whippany (NJ); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

401(k)

Paid leave

Job summary

Barclays in Whippany, NJ is seeking a Lead Big Data Engineer - VP to design, build, and scale core data platform capabilities for risk calculation, aggregation, and reporting. You will lead a team delivering high-performance data pipelines, metadata management, and governance across Front Office and Risk functions.

The role requires deep expertise in Java, Scala, Spark, S3, Hadoop, and cloud platforms, plus hands-on programming in Java, Python, and Unix/Linux.

Qualifications

• Deep expertise in Java, Scala, Spark, S3 and Hadoop ecosystem technologies.
• Hands-on programming in Java, Python, .NET, and Unix/Linux shell scripting for high-performance data pipelines.
• Experience designing distributed data architectures, ETL/ELT workflows, and scalable data solutions.

Responsibilities

• Design, build, and enhance core data platform capabilities for risk analytics.
• Mentor engineers and ensure adherence to technical excellence and governance.
• Collaborate with engineering, architecture, risk and business stakeholders to deliver scalable, regulatory-compliant data solutions.

Skills

Java

Scala

Apache Spark

Python

Unix/Linux

S3

Hadoop

Cloud

Tools

Java/JVM tooling

Hadoop ecosystem

Cloud platforms

Job description

Barclays in Whippany, NJ is seeking a Lead Big Data Engineer - VP to design, build, and scale core data platform capabilities for risk calculation, aggregation, and reporting. You will lead a team delivering high-performance data pipelines, metadata management, and governance across Front Office and Risk functions.

The role requires deep expertise in Java, Scala, Spark, S3, Hadoop, and cloud platforms, plus hands-on programming in Java, Python, and Unix/Linux.