Engineering - Client Data Engineering - Data Engineer - Analyst - Bengaluru Bengaluru · India ·[...]

Goldman Sachs Bank AG; Bengaluru; On-site; INR 700,000 - 1,200,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Financial Wellness & Retirement

Child Care & Family Care

Job summary

Goldman Sachs Bank AG in Bengaluru is seeking a Client Entity Data Analyst to ensure accurate client and legal entity data. This role bridges business teams and data platforms, defining and improving entity data for trading, risk, and operations.

The ideal candidate will have a Bachelor's in Engineering, 1+ years in data stewardship, and be proficient in SQL databases. Opportunities for professional growth and a diverse work culture await you.

Qualifications

• 1+ years of experience in data stewardship, data management, or a related analytical role.
• In-depth knowledge of relational and columnar SQL databases.
• Strong understanding of data governance and data quality concepts.

Responsibilities

• Steward core client and legal entity data.
• Monitor and improve data quality by identifying gaps.
• Provide guidance and training on entity data standards.

Skills

Data stewardship

Data management

SQL databases

Data governance

Analytical mindset

Communication skills

Education

Bachelor’s degree in Engineering

Tools

SQL

Job description

About Data Engineering

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing the platform, processes, and governance, for enabling the availability of clean, organized, and impactful data to scale, streamline, and empower our core businesses.

Within Data Engineering, we focus on offering a comprehensive data platform, Legend, which we have made available as an open-source product. Legend includes a full data modeling environment, as well as the execution of data access and controls, and a vast set of value-add products which allow our business users to operate more efficiently.

Leveraging our own Legend offering, our engineers build efficient data solutions that source, curate, and distribute critical data to our businesses, including financial product, pricing, transaction, and client reference data. Our engineers collaborate closely with the business to design and curate business-specific data models, and to transform and distribute data for optimal storage and retrieval.

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. Are you looking to apply your quantitative skills while deepening your understanding across a vast array of products? Client Data Engineering is a high-value risk management team under Data Engineering Division and is responsible for the governance programs that ensure critical entities modelling and entity data is accurate, complete, and scalable. This data is a critical input and dependency to most trade and client support functions. Client Data Engineering is comprised of four teams, based in Salt Lake City, Bengaluru, Singapore and Sydney.

Position Overview

We are seeking a Client Entity Data Analyst to join our Data Engineering organization in Bengaluru. This role focuses on ensuring that client and legal entity data used across the firm is accurate, complete, and fit for purpose. You will act as a bridge between business teams and data platforms, helping define, curate, and improve entity data that supports trading, risk, client onboarding, reporting, and operations. You will partner with global teams to maintain trusted data, streamline processes, and strengthen data governance.

Key Responsibilities

• Steward core client and legal entity data so it is consistent, well-documented, and aligned to firm-wide standards and controls.
• Partner with data producers and consumers to translate business needs into clear data definitions and models for client and entity data.
• Monitor and improve data quality by identifying gaps, resolving discrepancies, and driving root-cause remediation with upstream teams and external data vendors.
• Coordinate with external data providers (e.g., GLEIF, FactSet, Bloomberg) to validate and enhance entity data coverage and accuracy.
• Support the rollout and adoption of firm data platforms and processes that make high-quality data easier to access and use.
• Maintain playbooks and procedures for creating, updating, and certifying master data; ensure adherence to governance and regulatory requirements.
• Provide guidance and training to business users on entity data standards, terminology, and best practices.
• Track and report quality metrics and business outcomes; propose process improvements and automation opportunities to increase reliability and reduce manual effort.
• Collaborate across regions (Salt Lake City, Bengaluru, Singapore, Sydney) to ensure consistent execution and knowledge sharing.

Qualifications and Skills

• Bachelor’s degree or equivalent experience (Engineering degree preferred).
• 1+ years of experience in data stewardship, data management, or a related analytical role within a team-oriented environment.
• In-depth knowledge of relational and columnar SQL databases, including database design.
• Strong understanding of data governance, data quality concepts, and how trusted data enables business processes.
• Ability to translate business requirements into clear data definitions and acceptance criteria.
• Comfortable working in agile, fast-paced settings; organized with strong follow-through.
• Excellent communication skills; able to work with subject matter experts and stakeholders to clarify concepts and resolve issues.
• Analytical mindset with a bias for action; focuses on measurable business impact and timely delivery.
• High ownership, professionalism, and attention to detail.

Preferred Experience

• Experience in financial services or familiarity with client, counterparty, and issuer data domains.
• Exposure to enterprise data platforms and master data processes; interest in open-source data tooling.
• Working knowledge of data quality measurement, issue remediation, and vendor data onboarding.

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.

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.

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.