Data Architect

Description

**Data Architect** ------------------ Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world’s most innovative companies unlock their potential and contribute to a better future. From autonomous vehicles to life-saving robots, our digital technology and software experts think beyond convention, delivering unique R\+D and engineering services across all industries. Join the team and advance your career at a company offering growth opportunities—where you can make a difference and no two days are ever the same. **About the Role** ------------------ Are you eager to join our team as a Data \& AI Architect (Industrial) and participate in innovation initiatives related to defining, designing, developing, and integrating advanced data architectures and artificial intelligence solutions in industrial environments? **What You’ll Do on the Project** ------------------------------ You will contribute to leveraging data for operational optimization, efficiency improvement, and development of new innovation use cases. By analyzing functional and technical requirements related to advanced industrial data exploitation; designing scalable, secure, and governed data architectures; defining data ingestion, transformation, storage, and consumption flows; establishing data quality, traceability, cataloging, and governance criteria; designing and supporting the development of Artificial Intelligence and Machine Learning–based solutions for industrial use cases; defining integration models for intelligent agents and digital twins into industrial processes; and proposing cloud architectures and services—preferably on Google Cloud Platform (GCP). **Your Profile** ------------- To thrive in this position, you must feel comfortable and have experience with modern data architectures: Data Lake, Lakehouse, Data Warehouse, event-driven architectures, and cloud-native architectures—preferably Google Cloud Platform. Experience in data engineering: ingestion, transformation, modeling, orchestration, and monitoring of pipelines; and data governance: quality, traceability, cataloging, lineage, security, and data lifecycle management. Additionally, experience in designing, training, validating, and deploying AI and Machine Learning models. Finally, knowledge of intelligent agents, AI-driven automation, and digital twins is required. **What You’ll Love About Working Here** ------------------------------------- We offer a comprehensive portfolio of Development and Work-Life Balance measures, including but not limited to: * Continuous training—you’ll have access to platforms such as Coursera, Udemy, Pluralsight, Harvard Manager Mentor, and Education First for language learning (English, French, German, etc.) * Flexible Compensation Plan (health insurance, transportation, training, meal card or food allowance, childcare support, etc.) * Life and Accident Insurance * 24 vacation days \+ 2 personal days \+ December 24 and 31 \+ option to purchase up to 7 additional vacation days per year. Capgemini is a global leader in transforming and managing clients’ businesses by harnessing the full power of technology. Our purpose is to achieve an inclusive and sustainable future through technology—and through the energy of those who build it. We are a responsible, diverse company and a leading international provider of IT and engineering services, with over 360\.000 professionals across more than 50 countries. With a strong 55-year heritage and deep industry expertise, clients trust Capgemini to address their full business needs—from strategy and design to operations—powered by the fast-evolving worlds of cloud, data, AI, connectivity, software, platforms, and digital engineering. In 2022, the Group reported global revenues of €22 billion. Rewrite your future. Join the team! www.capgemini.com/es\-es \#LI\-LG1