Senior Software Engineer, VP - Market Data Engineering (SLC)

Job Description

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 Are: Market Data Engineering

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.

Market Data Engineering is part of the firm's Data Engineering group handling global access to financial market data sourced both internally and externally from the firm. The team is currently undertaking a project to revolutionize data ingestion, curation and distribution and is looking for talented engineers to ensure delivery success!

Your Impact

Our Market Data Engineering Team is a seeking a skilled Senior Software Engineer professional who has a strong passion for development, quantitative analysis, and the ability to draw insights from data. A successful candidate will be able to contribute to the team's long term data strategy development, lead initiatives that will shape our data architecture and build products that will generate insights for our internal clients.

How You Will Fulfill York Potential

• Design & develop modern data management tools to curate market data sets, models and processes, while identifying areas for process automation and further efficiencies
• Drive adoption of cloud technology for data processing and warehousing
• Engage with data consumers and producers in order to design improved workflows to ensure high quality data coverage

Relevant Technologies: Java, AWS

Basic Qualifications

• A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
• 5-7+ years of relevant work experience in a team-focused environment
• 5-7+ years of experience in distributed system design
• 5-7+ years of experience using Java
• 2+ years of experience with AWS cloud infrastructure and infrastructure as code (Terraform, CloudFormation, or ARM templates).
• Proven experience applying domain driven design to build complex business applications
• Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
• In-depth knowledge of relational and columnar SQL databases, including database design
• Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning)
• Experience in REST and/or GraphQL
• Comfort with Agile operating models (practical experience of Scrum / Kanban)
• Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
• Independent thinker, willing to engage, challenge or learn
• Ability to stay commercially focused and to always push for quantifiable commercial impact
• Strong work ethic, a sense of ownership and urgency
• Strong analytical and problem solving skills
• Establish trusted partnerships with key contacts and users across business and engineering teams

Preferred Qualifications

• Financial Services industry experience
• Working knowledge of open-source tools such as AWS lambda, Prometheus

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