In this role, you will be an independent, highly motivated and opinionated problem solver, innovator, and builder, able to learn, influence and build trust with a highly complex financial institution. You will be expected to advise on best practices across business and technology to realize innovative solutions using the latest cloud technologies.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Germany: €148000 - €151000 (EUR) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and architect solutions such as scalable position-keeping services, hybrid financial instruments handling, low latency and stream solutions for trading exchanges.
- Evaluate and integrate solutions with modern data foundations, including Relational Databases, Data Lake Houses, and real-time streaming architectures, ensuring data pipelines are optimized for AI retrieval, agentic workflows, and real-time financial insights.
- Partner with client leads(business user) to create Product Requirement Documents (PRDs), clearly defining Critical User Journeys (CUJs) and success metrics.
- Create clear technical guides to ensure a seamless hand-off from Point of Contact to engineering teams.
- Build reusable Proof-of-Concept and MVP code, documentation, presentations demonstrating reworld solutions using Google Cloud Platform.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 7 years of Capital Markets and Exchanges experience designing and architecting solutions for issuance, clearing, trading, settlement, custody, reference, and market data.
- 4 years of experience in software or data engineering with one or more programming languages (e.g., Python, Go, or Java), including experience with design patterns, testing frameworks, and API contract design.
- Experience in Financial Services, including experience with the regulatory and operational rigors of clearing, settlement, or custody.
Preferred qualifications:
- Experience designing and implementing smart contracts within regulated Financial Market Infrastructures (FMIs). This includes managing the life-cycle of tokenized assets.
- Experience working in a high-maturity DevOps culture (trunk-based development, automated testing, blue/green deployments).
- Proficient in BigQuery, Vertex AI, Dataflow, and Pub/Sub.
- Understanding of data residency, encryption at rest/transit (CMEK), and "Explainable AI" requirements in banking.
- Strong understanding of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.).
- Ability to independently drive the discovery phase, moving from a vague business problem to a structured PRD and a working technical demo.