GCP Data Architect

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group has over 360,000 team members globally in more than 50 countries and offers expertise in cloud, data, AI, connectivity, software, digital engineering, and platforms.

• Proven experience as a Data Architect working with Google Cloud Platform (GCP) services and managing cloud budgets.
• Strong understanding of data modeling, data warehousing, and both structured and unstructured data, ideally with experience in semantic modeling.
• C1-level English proficiency and ability to communicate effectively with business and technical stakeholders.
• GCP Architecture Certification.
• Ability to write non-trivial Python code and SQL scripts.

Nice to have:

• More than one GCP Certification.
• Architecture certifications in Azure or AWS.
• Experience with Agile methodologies and CI/CD pipelines.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• Collaborate closely with business stakeholders, product owners, and engineering teams.
• Design and implement scalable, high-performance data pipelines and AI/ML solutions using GCP-native tools.
• Support both real-time and batch data processing.
• Ensure solutions are secure, reliable, and optimized for performance and cost efficiency.
• Stay current with GCP innovations and industry trends to continuously improve architecture strategies.