Data Architect

Positive Work Environment: You will be part of a highly qualified team surrounded by people with a strong collaborative spirit, where you will find a welcoming and very pleasant atmosphere.

Work-Life Balance: Our hybrid model will allow you to perfectly balance your family life and your professional life.

Learning and Autonomy: We will encourage you to work independently, with the support of our training, on a highly technological product and in an international market.

Security and Stability: CAF has been working for more than 100 years on a path that extends into the future, providing you with the security you need.

Are you interested in growing as a professional, actively participating in project decisions, and doing so alongside an experienced team in a close-knit, collaborative work environment? This is your opportunity!

If you want to work toward a more sustainable world that is responsible with its environment, at CAF Digital Services we believe in and work on sustainable mobility, one of the main challenges facing society today. At CAF Digital Services, we improve train availability and passenger well-being through data analytics and digitalization. We work with the most innovative maintenance and operations technologies to maximize the quality of train service.

Your mission will be to define and design the technological data architecture that supports big data processes and the strategic exploitation of information in the organization, ensuring the integration, coherence, and scalability of data management systems, allowing interoperability between different platforms and applications.

• Establish standards, norms, and data architecture frameworks that ensure the quality, consistency, and accessibility of information.
• Optimize the performance and efficiency of data storage and processing systems, facilitating data-driven decision-making.
• Document and keep the data architecture up to date, ensuring traceability and corporate knowledge regarding the handling and flow of information.
• Analyze and evaluate the current data architecture to identify areas for improvement and optimization.
• Design and create data models and database structures that support business needs and guarantee integrity, consistency, and scalability.
• Develop and implement data storage and processing solutions.
• Design and govern APIs for the integration and secure access to data.
• Define and document standards, norms, and procedures for data management and use.
• Supervise and optimize the performance of data systems.
• Manage the integration of new systems and data sources into the existing architecture.
• Perform reporting and monitoring on the status and evolution of the data architecture.
• Coordinate and facilitate the adoption of new technologies and methodologies.