Data Architecture - Data Architecture - Document Lake

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 strategists 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.
Make data a strategic asset for the enterprise by providing a platform that enables the structuring, management, integration, control, discovery, usage, and governance of our Data Assets.
The document lake and the data quality teams are emerging with newer architectures and solutions and this role would be a lead role to technically guide both the teams and make key decisions on the strategic directions of the initiatives in this sub-pillar within data architecture. This will also involve interacting with other areas of the firm for adoption of the new product as well as decommissioning existing / similar ones.


• Engage with application development teams to provide timely end-to-end delivery of appropriate platform solutions • Collaborate with application development teams-and the development community at large-to analyze and resolve escalations • Provide technical guidance on established best practices to IT community and the business • Partner with engineering teams to understand technology offerings and how they can be applied to solve business problems • Design and implement mid to large scale systems management software to automate existing tasks, streamline operations and improve productivity

• Team player, eager to work in a global organization • Energy, self-motivation and independence to manage multiple tasks • Programming expertise in one or more of the following languages: Python, Ruby, Java, .NET, C++, Erlang (knowledge of Haskell, Lisp, Clojure, Scala or Prolog is a strong plus) • Analytical mindset, creativity and commercial focus to deliver optimal solutions for the business • Experience building and sustaining long-term relationships with clients and colleagues • Judgment to prioritize and escalate issues in order to influence objectives and outcomes • Strong oral and written communication skills

Preferred Qualifications
• Hands on experience with Java 8, Sybase (preferred), Multi-tenant/cloud based application architectures, Familiarity with development SDLC


The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

© The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.

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