Specialist Cloud AI Solution Data Arch.
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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 fo