Cloud Data Architect (M/F) 80-100%
As a Cloud Data Architect at keyIT, you will be responsible for defining, designing, and deploying modern Data Platforms in Cloud and hybrid environments. You will work on high-value client projects across French-speaking Switzerland while also contributing to the design of new Data and AI products. You will play a key role in turning business needs into robust, scalable, and secure data architectures.
We value diverse perspectives and encourage all qualified candidates to apply.
YOUR RESPONSIBILITIES:
• Define Data strategies aligned with client's business and technology needs
• Design modern, scalable data architectures aligned with Cloud best practices, including CAF and WAF
• Structure domain-oriented Data Products approaches
• Integrate security and information confidentiality requirements from the design stage
• Challenge technical choices and define standards and best practices
• Structure technical data governance across the full data lifecycle
• Set up enterprise data reference frameworks
• Optimize performance and costs with a FinOps mindset
• Implement Data observability mechanisms
• Deploy and configure Cloud environments
• Ensure integration within hybrid environments
• Set up modern, industrialized, and automated data platforms
• Support Data Engineers during build phases
• Structure testing and validation phases
• Ensure solution quality, maintainability, monitoring, maintenance, and documentation
• Implement Infrastructure as Code practices with tools such as Terraform and AzureRM
• Automate deployments and environment management
• Industrialize CI/CD pipelines
• Design modern, scalable data architectures aligned with Cloud best practices, including CAF and WAF
• Structure domain-oriented Data Products approaches
• Integrate security and information confidentiality requirements from the design stage
• Challenge technical choices and define standards and best practices
• Structure technical data governance across the full data lifecycle
• Set up enterprise data reference frameworks
• Optimize performance and costs with a FinOps mindset
• Implement Data observability mechanisms
• Deploy and configure Cloud environments
• Ensure integration within hybrid environments
• Set up modern, industrialized, and automated data platforms
• Support Data Engineers during build phases
• Structure testing and validation phases
• Ensure solution quality, maintainability, monitoring, maintenance, and documentation
• Implement Infrastructure as Code practices with tools such as Terraform and AzureRM
• Automate deployments and environment management
• Industrialize CI/CD pipelines
REQUIRED PROFILE:
• Higher education degree such as ETS, HES, or Bachelor in Computer Science, or equivalent qualification
• More than 10 years of proven experience in the field
• Ability to simplify technical topics and communicate effectively with clients
• Strong communication, coordination, and leadership skills
• Visionary, committed, pragmatic, and structured mindset
• Strong listening skills, diplomacy, analytical thinking, and solution-oriented approach
• Strong team spirit, sense of priorities, autonomy, and proactivity
• Native-level French and very good English skills
• Willingness to travel across French-speaking Switzerland
• More than 10 years of proven experience in the field
• Ability to simplify technical topics and communicate effectively with clients
• Strong communication, coordination, and leadership skills
• Visionary, committed, pragmatic, and structured mindset
• Strong listening skills, diplomacy, analytical thinking, and solution-oriented approach
• Strong team spirit, sense of priorities, autonomy, and proactivity
• Native-level French and very good English skills
• Willingness to travel across French-speaking Switzerland
TECHNICAL SKILLS:
• Strong command of Microsoft Azure
• Good command of Terraform and DevOps practices
• Expertise in Cloud deployments, Data Lakes, Data Warehouses, ETL, and APIs
• Good knowledge of Databricks, dbt, and Microsoft Fabric
• Good understanding of Data Mesh and semantic models
• Good command of Terraform and DevOps practices
• Expertise in Cloud deployments, Data Lakes, Data Warehouses, ETL, and APIs
• Good knowledge of Databricks, dbt, and Microsoft Fabric
• Good understanding of Data Mesh and semantic models
ADDITIONAL SKILLS:
• Azure Solutions Architect, AZ-305, and AZ-400 certifications
• Development experience, especially in C#, .NET, or Python
• Good understanding of LLMs and GenAI, especially for designing Data Agents, Knowledge Layers, and ontologies
• Experience with architectures handling complex data, for example IoT time series or SAP/ABAP flows
• Good understanding of streaming and real-time use cases, with the ability to choose between Spark Streaming with Databricks, Event Hubs, or more traditional batch processing depending on the context
• Development experience, especially in C#, .NET, or Python
• Good understanding of LLMs and GenAI, especially for designing Data Agents, Knowledge Layers, and ontologies
• Experience with architectures handling complex data, for example IoT time series or SAP/ABAP flows
• Good understanding of streaming and real-time use cases, with the ability to choose between Spark Streaming with Databricks, Event Hubs, or more traditional batch processing depending on the context
WE OFFER:
• A strategic role within the Business Analytics & AI Business Unit
• Varied assignments with clients across French-speaking Switzerland
• Direct involvement in the design of new Data and AI products
• An environment focused on quality, teamwork, and communication
• Start date: as soon as possible or by agreement
• Varied assignments with clients across French-speaking Switzerland
• Direct involvement in the design of new Data and AI products
• An environment focused on quality, teamwork, and communication
• Start date: as soon as possible or by agreement