Cloud & Data Architect | CIO Advisory

Overview In this CIO Advisory role with Nolan Norton, you will help leading clients advance their digital evolution through cloud-native and data-driven IT architectures. You will design scalable, secure hybrid and multi-cloud solutions and lead data platform modernization initiatives that unlock analytics and AI value. You’ll work with cross-functional teams across financial services, energy, public sector, and consumer markets on challenging, high-visibility projects. This is a dynamic environment where your impact shapes clients’ technology roadmaps and realization of strategic outcomes. Retribuzione / Benefits
* inclusive and fair work environment
* stimulating and dynamic context
* hybrid work mode
* advanced training and development
* international mindset
* well-being initiatives Responsabilità
* ICT Strategy development focused on cloud-native and data-driven evolution
* Cloud & Data Architecture design for hybrid/multi-cloud environments
* Data Management & Modernization including Data Lake, DWH, Data Mesh
* ICT Planning & Budgeting for roadmaps and ICT cost optimization
* Strategic Sourcing for technology partners and delivery models
* ICT Governance & Organization design of roles, responsibilities, and frameworks
* ICT Cost Right-Sizing & FinOps to optimize cloud/data costs Requisiti fondamentali
* Master's degree in relevant engineering/science field
* 3-4 years of experience in hybrid IT architecture design (cloud and on-premise)
* Experience in data architecture design
* App integration and API management skills
* Knowledge of CI/CD tools and DevOps methods
* Knowledge of Observability, Automation, IaC, Containers, and Orchestration (Docker, Kubernetes)
* Experience in Serverless and event-driven architectures
* Networking and security in cloud environments
* Deep knowledge of at least one major public cloud (AWS, Azure, GCP, OCI, IBM Cloud)
* English proficiency (preferred via international experience)
* teamwork
* creativity
* problem-solving
* Cloud & Data Architecture
* Data Management (Data Lake, DWH, Data Mesh)
* CI/CD and DevOps practices