Data Architect, Deutsche Borse Delivery Team, Google Cloud
Google · Frankfurt am Main, Germany | Munich, Germany | London, United Kingdom
About this role
Google is hiring a mid-level Solutions Architect in the software engineering function based in Frankfurt am Main, Germany | Munich, Germany | London, United Kingdom. The posting calls out experience with GCP, Data Modeling, Machine Learning, Compliance.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Frankfurt am Main, Germany | Munich, Germany | London, United Kingdom
- Posted
- Jun 2, 2026
More roles at Google
Job description
from Google careersThe role of the Global Solutions & Consumer AI team is to accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred choice for customers by delivering the highest-value, industry relevant solutions.
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.
Responsibilities
- Act as a primary technical point of contact for a large, complex financial services customer, building deep relationships with key stakeholders (CTOs, CDOs, Data Architects).
- Design and implement robust data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239).
- Develop and advocate for strategies for federating data responsibility across different business units and technical teams, enabling decentralized data ownership while maintaining centralized oversight and consistency.
- Design and implement data capabilities that seamlessly span across on-premise environments and multiple cloud providers, ensuring data portability, interoperability, and consistent access.
- Identify and address data requirements for emerging agentic technologies, such as real-time data streaming, vector databases, and secure data sharing for autonomous agents.