Data Engineering - Global Banking and Markets -Warsaw-Vice President

Goldman Sachs Group, Inc.; Warszawa; Hybrid; PLN 350,000 - 850,000; Full time

Job summary

Goldman Sachs is seeking a Data Engineering - Global Banking and Markets professional in Warsaw at Vice President level to define and build the next generation of data governance infrastructure. The role emphasizes governance by design, cloud-native architecture, and AI-enabled workflows across a global platform used by regulators and business stakeholders.

You will partner with global tech and business teams to deliver integrated platform capabilities, embed governance intelligence in data

Qualifications

• 8+ years of experience designing and implementing real-time distributed processing systems and event-driven architectures.
• Proven expertise in large-scale migrations from on-premises to cloud environments, preferably AWS.
• Strong understanding of cloud architecture, managed services, and containerization.
• Proficiency in Python, C++, or Java.
• Experience building AI-first apps and interfaces with generative features.

Responsibilities

• Lead technical discussions, architecture, design, development, and testing for regulatory engineering initiatives.
• Define and enforce engineering best practices across the delivery lifecycle.
• Guide teams in building reliable, scalable, secure, auditable systems.
• Drive the shift toward AI-first, embedded regulatory platforms.
• Help create systems that make regulatory outcomes faster and smarter.

Skills

Real-time processing

Event-driven architecture

Python

C++

Java

AI/ML automation

Cloud-native development

Regulatory platforms

Education

Bachelor's degree in computer science/engineering

Engineering Manager or Senior Tech Lead experience

Tools

Docker

Kubernetes

Databricks

Snowflake

Kafka

Elasticsearch

Job description

Data Engineering - Global Banking and Markets -Warsaw-Vice President

Job Description

Data Governance at Goldman Sachs is being reinvented.

This is a chance to define and build the next generation of Data Governance infrastructure for Global Banking & Markets. Our team owns the Data Governance strategy across a truly global platform spanning New York, London, Warsaw, Bengaluru, Singapore, Dallas, and Hyderabad, supporting regulators, data consumers, and business stakeholders around the world.

This is not a traditional governance technology role. We are not treating governance as a bolt-on control layer, a manual parallel process, or an afterthought audit trail. We are embedding governance intelligence directly into platform and product design from day one: governance by design, not governance by exception.

As part of the firmwide One GS 3.0 transformation, we are modernizing to cloud-native architecture and building an AI-first data governance capability where engineering, controls, and business workflows converge. The mission is bold: automate operational toil, interpret an ever-changing legal and regulatory landscape, detect issues before they surface, and create proactive monitoring that scales with global market complexity.

We are looking for disruptors, builders, and systems thinkers who want to reimagine what data governance can be: an integrated, automated, self-improving, evergreen solution where governance enables data-driven transformation rather than restricting it.

How will you fulfil your potential?

• Build secure, high-quality, maintainable systems with technology and strategy teams using approved tools and modern engineering practices.
• Partner with global technology and business teams to deliver regulatory obligations as integrated platform capabilities.
• Design AI-enabled workflows that automate exception handling, reduce manual reconciliation, and improve control transparency.
• Embed intelligence directly into the systems themselves so they can detect anomalies, route exceptions, explain decisions, and support proactive monitoring.
• Build AI-powered governance capabilities that continuously interpret global regulatory requirements, internal standards, and policy updates for evergreen compliance coverage.
• Engineer governance-by-design controls into data pipelines and data products, including policy-aware lineage, ownership, and quality enforcement.
• Help move the team from reactive compliance to regulatory-by-design engineering.
• Track key performance metrics to measure control effectiveness, operational efficiency, and transformation outcomes.
• Learn from and contribute to engineers building the next generation of cloud and AI systems for markets infrastructure.

Responsibilities

• Lead technical discussions, architecture, design, development, and testing for strategic regulatory engineering initiatives.
• Define and enforce engineering best practices across the delivery lifecycle.
• Guide teams in building reliable, scalable, secure, and auditable systems.
• Drive the shift toward AI-first, embedded, and explainable regulatory platforms.
• Help create systems that make regulatory outcomes faster, smarter, and more transparent.

Experience

• 8+ years of experience designing and implementing real-time distributed processing systems and event-driven architectures.
• Proven expertise in large-scale migrations from on-premises legacy systems to cloud-based Lakehouse environments, preferably AWS.
• Strong understanding of cloud architecture, managed services, and containerization such as Docker and Kubernetes.
• Experience building secure, highly available, scalable systems in large enterprise environments.
• Proficiency in Python, C++, or Java.
• Experience developing, testing, and maintaining production-grade code.
• Experience building AI-first applications and interfaces with generative features, streaming LLM responses, and Model Context Protocol integrations.
• Practical experience using AI/ML to drive operational automation, transparency, anomaly detection, and proactive monitoring.

Relevant

• Hands-on experience with Databricks and Snowflake in enterprise Lakehouse patterns, including governed data product development and operationalized controls.
• Practical experience designing interconnected graph ecosystems for advanced data asset governance, including lineage intelligence, ownership relationships, and policy propagation.
• Experience with near real-time transactional systems and NoSQL/event platforms such as Kafka and Elasticsearch.
• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
• Experience as an Engineering Manager or Senior Technical Lead, ideally in cloud-native development or platform engineering.
• Experience designing multi-agent systems using frameworks with governed orchestration logic.
• Strong product mindset and the ability to redefine how regulatory outcomes are delivered at scale.

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

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

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

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

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).

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

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