Data Architect, Google Cloud

Data Architect, Google Cloud Locations: Frankfurt am Main, Germany; Munich, Germany; London, UK; and others.

Experience Level: Advanced

Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data architecture, data engineering, or a related field.
• 5 years of experience working with data platforms and technologies.
• Experience designing and implementing data solutions for enterprise customers with hybrid and multi-cloud in the financial markets industry.
• Experience with data modeling and graph databases (e.g., RDF, property graphs, or graph databases).

Preferred Qualifications:

• Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect).
• Experience designing and implementing data governance, security, and compliance in a highly regulated environment.
• Experience contributing to open-source data projects.
• Familiarity with machine learning and AI concepts and their application in data management and analysis.
• Knowledge of emerging agentic technologies and their implications for data architecture.

About the Job In this role, you will 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Compensation:

Germany: 148,000 - 152,000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Act as a primary technical point of contact for a large, complex financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects).
• Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239).
• Develop and advocate 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.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.