Data Architect, Google Cloud - #2716666
Date: vor 1 Stunde
Stadt: München
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt am Main, Germany; Zürich, Switzerland; Munich, Germany; London, UK.Minimum qualifications:
Germany: €148000 - €151000 (EUR) + 20% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
- 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 or property graphs).
- 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.
Germany: €148000 - €151000 (EUR) + 20% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
- 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 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-premises 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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