Who We AreAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

Por favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.
The RoleWe are looking for a Data Architect to join Kyndryl’s Applications, Data & AI (ADAI) practice, supporting strategic enterprise data transformation initiatives on Google Cloud Platform (GCP).
The adecuado candidate combines strong architecture expertise with hands-on delivery experience designing modern, scalable, and governed data platforms.
This role will be responsible for defining end-to-end data architectures,



translating business requirements into technical solutions, and leading implementation teams to deliver enterprise-grade data ecosystems.
Key Responsibilities:
- Design and define enterprise-scale data architectures on Google Cloud Platform (GCP).
- Gather business and technical requirements and translate them into scalable data platform strategies and implementation roadmaps.
- Design modern data ecosystems including data lakes, data warehouses, lakehouse architectures, and real-time processing solutions.
- Lead and mentor data engineering teams during implementation and delivery phases.
- Ensure solutions follow enterprise security, compliance, governance, and data quality standards.
- Collaborate with technical and non-technical stakeholders to align architecture decisions with business objectives.

Who You AreRequired Experience
- 5+ years of experience designing and implementing enterprise data platforms an

📌 Data Architect (Madrid)
🏢 Kyndryl
📍 Madrid