Solution Architect, Capital Markets and Exchanges, Google Cloud
Summary
Pre-sales Solution Architect at Google Cloud advising capital markets and exchange clients: designs low-latency trading, clearing, settlement, custody, and tokenization solutions, writes PRDs and technical hand-off guides, and builds reusable PoCs/MVPs on GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub).
Germany: €148000 - €151000 (EUR) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
- 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.
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