Specialist Cloud AI Solution Data Arch.

Vodafone Group Plc; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Meal voucher

Flexible hours

Summer schedule

Remote work up to 20 days

Private Health and Life Insurance

25 vacation days + holidays

Pension Plan

Online learning platform

Descripción de la vacante

Vodafone Group Plc in Madrid is seeking a Cloud and AI Data Solutions Architect to lead the end-to-end design of secure, scalable data platforms across a multi-cloud environment. This role requires translating business requirements into production-ready AI solutions while guiding the team and ensuring governance and operational readiness.

The ideal candidate will design AI-powered data solutions, implement data mesh architectures with robust data contracts, and embed FinOps and security into the

Formación

• End-to-end design and architecture of scalable data platforms in hybrid/multi-cloud environments
• Deep knowledge of data warehousing, data lakes, and ETL/ELT orchestration
• Strong foundation in Infrastructure as Code and cloud security best practices
• Proven track record in FinOps including cloud cost forecasting and rightsizing
• Experience leading complex cloud migrations from legacy systems to modern cloud hubs
• Bachelor level STEM degree and cloud certifications
• Excellent communication and stakeholder management skills
• Fluent English (spoken and written) with optional Spanish

Responsabilidades

• Understand business requirements and translate them into data architectures
• Design and implement AI architectures aligned with Vodafone's goals
• Create decentralized data mesh architectures with robust data contracts
• Ensure scalability, efficiency, and security of cloud/AI solutions
• Provide high-level effort estimations and roadmapping for migrations
• Define data interaction patterns in multi-cloud environments and optimize cloud-to-cloud data movement
• Embed FinOps principles into design phase
• Govern AI Booster-based solutions with scalable cloud architectures and CI/CD patterns
• Act as a bridge between business, engineering, and platform teams
• Translate complex requirements into high-level cloud architecture proposals and ROI-driven solutions
• Collaborate with business users to anticipate data needs
• Deliver AI-powered data solutions

Conocimientos

ETL development

Cloud migration

AI architectures

Data governance

FinOps

Cloud security

IaC Terraform

Stakeholder management

Fluent English

Educación

Bachelor's degree in CS/Engineering

Herramientas

Terraform

BigQuery

AWS

Azure

GCP

Teradata

Oracle

Descripción del empleo

About this Role

The AIDA tower is a strategic unit focused on helping local markets migrate and optimize their cloud solutions. We are seeking a Cloud and Ai Data Solutions Architect to lead the end-to-end design of secure, scalable, and highly optimized data platforms across a multi-cloud environment. This role requires a strategic vison to explain to all the stakeholders the complex architectural designs and guide the team to create a solution.

The Cloud AI Solution Architect will be responsible for designing and implementing the architecture of Cloud and AI solutions that align with Vodafone's strategic goals with a clear focus on scalability, robustness, security, modular and reusable components. This role involves collaborating with cross-functional teams to reach the aforementioned objectives.

What you’ll do

Key accountabilities and decision ownership:

• Understand the data, and how to model them inside the BI environment to create values from information, ensuring data quality
• Design and implement AI architectures that align with Vodafone's strategic goals.
• Design and implement decentralized data mesh architectures, establishing robust data contracts to verify formats, ensure data quality, and prevent unnecessary data replication.
• Ensure the scalability, efficiency, and security of cloud and AI solutions.
• Effort Estimation & Roadmapping: Drive the technical feasibility analysis and provide high-level effort estimations (resource, time, and complexity) for local market cloud migrations, ensuring alignment with project timelines and budget constraints
• Establish new data interaction patterns for complex multi-cloud environments, such as optimizing direct cloud-to-cloud data movement to enhance latency and reduce costs.
• Embed FinOps principles directly into the technical design phase, ensuring that cost efficiency is a conscious consideration and a critical metric for business value.
• Design and govern AI Booster-based solutions, defining scalable cloud architectures, CI/CD patterns, security controls, and deployment strategies to enable AI and GenAI use cases across Vodafone
• Act as the bridge between business stakeholders, engineering teams, and platform owners, translating business requirements into production-ready AI solutions while ensuring compliance, governance, and operational readiness.
• Proven technical pre-sales and solutioning skills, with the ability to translate complex business requirements into high-level cloud architecture proposals, effort estimations, and ROI-driven solutions.
• Work with business users to ensure we can support and anticipate company's data needs.
• AI-Driven Architecture: Design and implement AI-powered data solutions

Who you are

Core competencies, knowledge and experience:

• Understand business requirements to enhance the systems and provide the necessary data in the best way according to the IT strategy and the business needs.
• ETL development
• Cloud migration and transformation
• Good understanding of Responsible AI & Ethical AI frameworks, EU AI Act. Experience of using RAI frameworks in AI solutions

Must have technical / professional qualifications

• Experience in the end-to-end design and architecture of scalable data platforms in hybrid and multi-cloud environments (preferably GCP, AWS, Azure).
• Experience / collaboration in BI pipeline design projects
• Deep knowledge of modern data warehousing, data lakes, and ETL/ELT orchestration
• Strong foundation in Infrastructure as Code (e.g., Terraform) and cloud security best practices (e.g., principle of least privilege, data encryption).
• Proven track record in FinOps, including cloud cost forecasting, resource rightsizing, and optimizing compute capacity (e.g., Big Query slot allocation).
• Experience in leading complex cloud migrations from legacy on-premises systems (e.g., Teradata, Oracle) to modern cloud hubs.
• Bachelor’s degree in computer science, engineering and/or other STEM degrees
• Cloud certifications
• Working experience in similar roles
• Attitude to plan and organize work to deliver project as agreed
• Great communication skills and stakeholder’s management
• Fluent English (both speaking and writing) and optional Spanish.
• (Preferred) Knowledge of Cloud Data Architecture for Data Warehousing

What's in it for you

• Hybrid work model
• Bonus on top of the gross salary.
• Meal voucher (Ticket Restaurant), additional to gross salary.
• Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays.
• Intensive Summer Schedule during July and August.
• Up to 20 days per year of 100% remote work from other locations.
• Private Health and Life Insurance for employees.
• 25 vacation days, plus December 24th and 31st off.
• Optional Pension Plan.
• Access to an online learning platform for continuous training.

#LI-Hybrid

REF: 287573

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