Specialist Cloud AI Solution Data Arch.
Hace 2 días
madrid, comunidad de madrid, España
Vodafone Group Plc
Jornada completa
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
About this RoleThe 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 doKey accountabilities and decision ownership:Understand the data, and how to model them inside the BI environment to create values from information, ensuring data qualityDesign 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 constraintsEstablish 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 VodafoneAct 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 solutionsWho you areCore 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 developmentCloud migration and transformationGood understanding of Responsible AI & Ethical AI frameworks, EU AI Act. Experience of using RAI frameworks in AI solutionsMust have technical / professional qualificationsExperience 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 projectsDeep knowledge of modern data warehousing, data lakes, and ETL/ELT orchestrationStrong 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 degreesCloud certificationsWorking experience in similar rolesAttitude to plan and organize work to deliver project as agreedGreat communication skills and stakeholder’s managementFluent English (both speaking and writing) and optional Spanish.(Preferred) Knowledge of Cloud Data Architecture for Data WarehousingWhat's in it for youHybrid work modelBonus 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-HybridREF: 287573VOIS Equal Opportunity Employer CommitmentVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, disc
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 doKey accountabilities and decision ownership:Understand the data, and how to model them inside the BI environment to create values from information, ensuring data qualityDesign 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 constraintsEstablish 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 VodafoneAct 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 solutionsWho you areCore 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 developmentCloud migration and transformationGood understanding of Responsible AI & Ethical AI frameworks, EU AI Act. Experience of using RAI frameworks in AI solutionsMust have technical / professional qualificationsExperience 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 projectsDeep knowledge of modern data warehousing, data lakes, and ETL/ELT orchestrationStrong 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 degreesCloud certificationsWorking experience in similar rolesAttitude to plan and organize work to deliver project as agreedGreat communication skills and stakeholder’s managementFluent English (both speaking and writing) and optional Spanish.(Preferred) Knowledge of Cloud Data Architecture for Data WarehousingWhat's in it for youHybrid work modelBonus 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-HybridREF: 287573VOIS Equal Opportunity Employer CommitmentVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, disc