The AIDA tower is a strategic unit focused on helping local markets migrate and optimize their cloud solutions. We are seeking a Cloud 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.

You will be responsible for guiding the migration of legacy data systems to the cloud and evolve and optimize the existing solution. The cost-optimization (FinOps) principles, and the security need to be included into every design, and establishing the governance and technical blueprints that will empower our engineering teams to build autonomously

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
• Lead the end-to-end design and architecture of secure, scalable, and optimized data platforms across hybrid and multi-cloud environments (e.g., GCP, AWS, Azure).
• Design and implement decentralized data mesh architectures, establishing robust data contracts to verify formats, ensure data quality, and prevent unnecessary data replication.
• Drive the strategic migration of legacy on-premises systems (such as Teradata, Oracle, and Exadata) to modern cloud data hubs, ensuring minimal disruption to existing systems.
• 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.
• Take ownership of optimizing compute capacity and resource allocation (e.g., transitioning to slot reservations and implementing dynamic scaling in BigQuery) to manage fluctuating demands efficiently.
• Make the data model sustainable from ETL and performance point of view
• 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,
• Recommend approaches, lead design and create solid technical solutions for complex business scenarios

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
• Network knowledge to interconnect cloud and on prem

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
• Proactive in the day by day working tasks and attitude in acquiring new skills

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

• Hybrid work model 
• Bonus on top of the 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 and Family
• 25 vacation days, plus December 24th and 31st off.
• Optional Pension Plan.
• Access to an online learning platform for continuous training.

#LI-Hybrid

REF: 284141

Please, apply with an English version of your CV.

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