Data Architect, Deutsche Borse Delivery Team, Google Cloud in London

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt am Main, Germany; Munich, Germany; London, UK.

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 knowledge graph (e.g., RDF, property graphs, graph databases).
• Ability to communicate in English and German fluently in order to support client relationship management in Germany.

Preferred qualifications:

• Relevant company 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.

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.

The company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.