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 core and business-aligned teams, 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.
Your Impact
The ideal candidate will possess strong technical expertise in data management systems, a passion for architectural design, and the ability to translate complex business requirements into scalable technical solutions. You will play a pivotal role in advancing our data strategy, driving technology transformation initiatives, and developing enterprise applications that enable data-driven decision making across the organization.
How You Will Fulfill Your Potential
Architect and implement enterprise-grade solutions for client data management, focusing on data integrity, integration, and distribution capabilitiesDrive technology modernization efforts by helping transition legacy systems to our next-generation data solutionDevelop sophisticated ETL processes to integrate, transform, and distribute mission-critical client information across business unitsPartner with business stakeholders to translate domain-specific requirements into robust data models and controlsContribute to continuous improvement initiatives within our agile delivery frameworkDesign & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficienciesRelevant Technologies: Python, Java, AWS, KDB, InfluxDB, SQL
Basic Qualifications
Preferred Qualifications
Financial Services industry experience, particularly in client data domainsHands-on experience with the Legend/Pure data modeling ecosystemExperience with cloud-native application development and deployment
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity