In this role you will design secure, scalable cloud and AI data platforms across multi-cloud environments to support Vodafone's strategic AI and data initiatives. You will translate business requirements into production-ready architectures, lead data mesh and AI solution design, and ensure governance, security, and cost discipline. You’ll collaborate with cross-functional teams and act as a bridge between business, engineering, and platform owners to deliver value. This position offers impact at scale, shaping data platforms and GenAI applications in a dynamic telecom environment. Compensaciones / Beneficios

Design and implement AI architectures aligned with Vodafone's goals Design and implement decentralized data mesh architectures with robust data contracts Ensure scalability, efficiency, and security of cloud and AI solutions Provide high-level effort estimations for local market cloud migrations Establish data interaction patterns for multi-cloud environments to optimize latency and cost Embed FinOps principles in the technical design phase Define scalable CI/CD patterns and deployment strategies for AI/GenAI initiatives Translate business requirements into production-ready AI solutions while ensuring governance and compliance Lead pre-sales and solutioning to map requirements to cloud architecture and ROI Collaborate with business users to anticipate data needs Responsabilidades

End-to-end design and architecture of scalable data platforms in hybrid/multi-cloud (GCP, AWS, Azure) Experience in BI pipeline design projects Strong knowledge of modern data warehousing, data lakes, ETL/ELT orchestration Infrastructure as Code (Terraform) and cloud security best practices (least privilege, encryption) FinOps expertise: cloud cost forecasting, rightsizing, capacity optimization Leading complex cloud migrations from on-premises (Teradata, Oracle) to cloud hubs Bachelor's degree in CS/engineering or STEM Cloud certifications Fluent English; Spanish optional Experience in roles similar to this one Knowledge of Cloud Data Architecture for Data Warehousing (preferred) Requisitos principales

Hybrid work model Bonus on top of gross salary Meal voucher Versátil working hours Intensive Summer Schedule Up to 20 days remote work annually with location flexibility? (interpreted)

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📌 Specialist Cloud Ai Solution Data Arch. (Madrid)
🏢 Vodafone
📍 Madrid