Transaction Banking Technology Vice President, Data Engineering

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Transaction Banking

Transaction Banking, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 148-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency.

The Team:

Data & Analytics Platform is a global engineering team with pods across New-York, London, Bangaluru, and Dallas. We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.

The Role:

As part of our global team you will work on the data platform reporting to a Data Engineering Lead. Your role includes development, test and rollout of data platform features. Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems 

You are expected to contribute to the vision and roadmap, and a world-class engineering culture, while integrating business value and client experience within the team.

This initiative is of critical importance to the success of the organization and our roadmap. Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform. Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market place.

We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering.

Basic Qualifications:

• Minimum 10 years of hands on experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
• Minimum 5-year production experience with Kafka, Kinesis or equivalent
• Experience in REST and/or GraphQL
• Experience in working with data-bases – NoSQL and/or Relational.
• BS. or higher in Computer Science (or equivalent work experience)

Preferred Qualifications:

• Experience with microservice architecture
• Experience with PostgreSQL
• Experience with AWS
• Experience with Snowflake
• Experience with Terraform
• Experience in Financial Services or Fintech