Experteer Overview
As Cloud and AI Data Solutions Architect, you shape secure, scalable data platforms across multi-cloud environments to support Vodafone’s strategic goals. You will translate complex requirements into production-ready AI and data architectures, guiding cross-functional teams and ensuring governance, security, and operational readiness. The role combines strategic design with hands-on implementation of data meshes, AI boosters, and cost-aware FinOps practices. You’ll operate at the intersection of business, engineering, and platform ownership to deliver impactful data-driven solutions.

Compensaciones / Ventajas
• Model data and BI structures to foster value and data quality
• Design and implement AI architectures aligned with strategic goals
• Build decentralized data mesh with data contracts to ensure quality and minimize replication
• Ensure scalability, efficiency, and security of cloud and AI solutions
• Provide high-level effort estimates and roadmaps for cloud migrations
• Define data interaction patterns for multi-cloud environments to optimize latency and cost
• Embed FinOps into technical design and value realisation
• Architect AI Booster-based solutions with scalable CI/CD and deployment controls
• Translate business requirements into production-ready AI/ data solutions while ensuring governance
• Serve as bridge between business, engineering,



and platform teams to align on solutions
• Demonstrate pre-sales and solutioning proficiency translating requirements into ROI-driven cloud proposals
• Collaborate with business users to anticipate data needs
• Lead AI-powered data solution design and implementation

Responsabilidades
• End-to-end design and architecture of scalable data platforms in hybrid/multi-cloud setups (GCP, AWS, Azure)
• BI pipeline design collaboration experience
• Deep knowledge of data warehousing, data lakes, and ETL/ELT orchestration
• Infrastructure as Code (Terraform) and cloud security best practices
• FinOps experience including cost forecasting and rightsizing
• Experience migrating from on-premises (e.g., Teradata, Oracle) to cloud hubs
• Bachelor's degree in a STEM field
• Cloud certifications
• Proven experience in similar roles
• Excellent communication and stakeholder management
• Fluent English (spoken and written); Spanish optional
• Knowledge of Cloud Data Architecture for Data Warehousing (preferred)

Requisitos principales
• Hybrid work model
• Bonus on top of gross salary
• Meal voucher (Ticket Restaurant)
• Flexible working hours
• Intensive Summer Schedule
• Up to 20 days remote per year from other locations? (clarify: 20 days)

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