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 / Beneficios
- 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 implementationResponsabilidades
- 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)
- Adaptable 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