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About the Role
As a Solution Architect, Financial Services, you will collaborate with clients to transform initial concepts into reality. You will design and architect solutions using blockchain, tokenization, and AI-driven automation to modernize traditional workflows for a strategic customer in the capital markets finance industry. You will identify where modern financial technology can drive systemic efficiency within Financial Market Infrastructures (FMIs).
Responsibilities
- Design and architect a scalable position-keeping service for blockchain networks, supporting internal and external tokenized, detokenized, and hybrid financial instruments for Next-Gen financial architecture.
- Architect and oversee the development of the wallet service, enabling AI agents to seamlessly query real-time position data for customers.
- Partner with client leads (business users) to create Product Requirement Documents (PRDs), clearly defining Critical User Journeys (CUJs) and success metrics.
- Evaluate and integrate solutions with modern data foundations including relational databases, data lakehouses, and real-time streaming architectures ensuring data pipelines are optimized for AI retrieval, agentic workflows, and real-time financial insights.
- Create clear technical guides to ensure a seamless hand-off from POC to engineering teams.
Requirements
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 7 years of experience in software or data engineering, including programming in Python, Go, or Java, and experience with design patterns, testing frameworks, and API contract design.
- Experience in back-office clearance, trade reconciliation, and identifying or mitigating transaction settlement risks.
- Experience designing and implementing Distributed Ledger Technology (DLT) solutions and smart contracts within regulated Financial Market Infrastructures (FMIs), including managing the lifecycle of tokenized assets.
- Experience using AI tools to significantly increase personal coding velocity and code quality.
- Experience in financial services, familiarity with the regulatory and operational rigors of clearing, settlement, or custody.
- Proficient in BigQuery, Vertex AI, Dataflow, and Pub/Sub.
- FSI regulatory knowledge for data residency, encryption at rest/transit (CMEK), and explainable AI requirements in banking.
- Strong understanding of relational, NoSQL, and analytical data modeling (e.g., 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.
Skills
- Python
- Go
- Java
- design patterns
- testing frameworks
- API contract design
- back-office clearance
- trade reconciliation
- transaction settlement risks
- Distributed Ledger Technology (DLT)
- smart contracts
- tokenized assets
- AI tools
- financial services
- clearing
- settlement
- custody
- BigQuery
- Vertex AI
- Dataflow
- Pub/Sub
- FSI regulatory knowledge
- data residency
- encryption at rest/transit (CMEK)
- explainable AI
- relational data modeling
- NoSQL data modeling
- analytical data modeling
- Star Schema
- Data Vault
- blockchain
- tokenization
- AI-driven automation
Experience Level
- 7 years of experience in software or data engineering
Education Level
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
Salary/Compensations
- Germany: €148000 - €151000 (EUR) + 20% bonus target + equity + benefits
Benefits
- 20% bonus target
- equity
- benefits
About the Company
- Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
- We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.