Job Description

Financial Metrics Data Eng

Organization

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm's compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm's liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering's 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities.

Metrics & Analytics Platforms, within The Core Engineering, is responsible for the measurement and management of the firm's risk, capital, and liquidity for The Core functions. Within Metrics & Analytics Platforms unit, Financial Metrics Data Eng team builds best in class data solutions.

Job Description

The Financial Metrics Data Engineering team is looking for world-class Data Engineers to work closely with various teams to:

Deliver metric-specific enriched data products for calculations and ontologies to enable agentic metric explainability and insights.
Build efficient platforms and common data models for limit management and resource allocation.

Responsibilities

Build Scalable Data Solutions: Build scalable, high-performance data solutions for all teams across the metrics platform.
Standardize Strategic Data Flows: Work with teams across the firm to build strategic data pipelines, establishing a standard, consistent architecture across different metrics and calculations within the metrics platform organization.
Implement Next-Generation Architecture: Contribute to the design and execution of our next-generation architecture with an AI-driven, cloud-first mindset—ensuring maximum resiliency, scalability, and alignment with the firm's long-term strategic growth.
Adhere to Engineering Excellence: Follow modern SDLC practices, write robust unit tests, and participate in active code reviews to maintain high code quality.

Minimum Qualifications

10+ years of hands-on data engineering experience building, modeling, and scaling enterprise-level, business-critical systems.
Strong proficiency in SQL and relational/non-relational database design.
Strong hands-on experience with backend technologies such as Java, Spring Boot, and Python.
Strong experience working with modern, scalable SDLC practices (CI/CD, automated testing, version control, and code reviews).
Hands-on experience with cloud technologies, preferably AWS, and building high-availability patterns.
Experience implementing or integrating AI-enabled tools, LLM-based platforms, or automated agentic solutions.
Exceptional analytical, debugging, and problem-solving skills.
A strong appetite and openness to dive into proprietary systems, understand their inner workings, and strategically uplift them.
Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

Familiarity with financial data.
Experience with distributed data processing frameworks (e.g., Apache Spark, Flink) or modern cloud data warehouses.

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 opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

The Core Engineering-L2-Bengaluru-Vice President-Software Engineering