Specialist Cloud Ai Solution Data Arch.
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Job description
Experteer Overview In this role you will design secure, scalable cloud and AI data platforms across multi-cloud environments to support Vodafone’s strategic AI and data initiatives.You will translate business requirements into production-ready architectures, lead data mesh and AI solution design, and ensure governance, security, and cost discipline.You’ll collaborate with cross-functional teams and act as a bridge between business, engineering, and platform owners to deliver value.This position offers impact at scale, shaping data platforms and GenAI applications in a dynamic telecom environment.Compensaciones / Beneficios - Design and implement AI architectures aligned with Vodafone’s goals - Design and implement decentralized data mesh architectures with robust data contracts - Ensure scalability, efficiency, and security of cloud and AI solutions - Provide high-level effort estimations for local market cloud migrations - Establish data interaction patterns for multi-cloud environments to optimize latency and cost - Embed FinOps principles in the technical design phase - Define scalable CI/CD patterns and deployment strategies for AI/GenAI initiatives - Translate business requirements into production-ready AI solutions while ensuring governance and compliance - Lead pre-sales and solutioning to map requirements to cloud architecture and ROI - Collaborate with business users to anticipate data needsResponsabilidades - End-to-end design and architecture of scalable data platforms in hybrid/multi-cloud (GCP, AWS, Azure) - Experience in BI pipeline design projects - Strong knowledge of modern data warehousing, data lakes, ETL/ELT orchestration - Infrastructure as Code (Terraform) and cloud security best practices (least privilege, encryption) - FinOps expertise: cloud cost forecasting, rightsizing, capacity optimization - Leading complex cloud migrations from on-premises (Teradata, Oracle) to cloud hubs - Bachelor’s degree in CS/engineering or STEM - Cloud certifications - Fluent English; Spanish optional - Experience in roles similar to this one - Knowledge of Cloud Data Architecture for Data Warehousing (preferred)Requisitos principales - Hybrid work model - Bonus on top of gross salary - Meal voucher - Flexible working hours - Intensive Summer Schedule - Up to 20 days remote work annually with location flexibility?(interpreted)
Requirements
of scalable data platforms in hybrid/multi-cloud (GCP, AWS, Azure) - Experience in BI pipeline design projects - Strong knowledge of modern data warehousing, data lakes, ETL/ELT orchestration - Infrastructure as Code (Terraform) and cloud security best practices (least privilege, encryption) - FinOps expertise: cloud cost forecasting, rightsizing, capacity optimization - Leading complex cloud migrations from on-premises (Teradata, Oracle) to cloud hubs - Bachelor’s degree in CS/engineering or STEM - Cloud certifications - Fluent English; Spanish optional - Experience in roles similar to this one - Knowledge of Cloud Data Architecture for Data Warehousing (preferred)Requisitos principales - Hybrid work model - Bonus on top of gross salary - Meal voucher - Flexible working hours - Intensive Summer Schedule - Up to 20 days remote work annually with location flexibility? (interpreted)
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