Data Architect H/F

Explore different entities and data sources to define an initial approach for implementing the Semantic Layer.

• Work on selected Agentic AI use cases to identify and validate relevant semantic requirements.
• Design the Low-Level Design (LLD) of reusable semantic assets.
• Define and structure the business vocabulary, including concepts, definitions, relationships and business rules.
• Design and formalize ontologies and semantic models.
• Model business processes and their interactions with data.
• Establish mappings between Data Products and semantic assets.
• Implement Data Governance principles and standards defined at Group level.
• Produce and maintain Reference Architecture documents.
• Design data architectures and models suitable for federated and Data Mesh environments.
• Demonstrate the value of proposed solutions through hands-on experimentation and proofs of concept.
• Validate the technical and functional feasibility of the proposed approaches.
• Capture lessons learned from experiments and contribute them to the evolution of Group standards and reference architectures.
• Collaborate closely with Data, AI, Architecture, Governance and business teams across different entities., Profile wantedRequired ProfileWe are looking for a Senior Data Architect with strong expertise in Data Architecture, Data Management, Semantic Layers and AI/LLM technologies.Technical SkillsData ArchitectureData ModellingOntologiesKnowledge / Expertise GraphsData ProductsData MeshData ManagementData GovernanceSemantic Layer / Semantic ModelsFederated and distributed data architecturesData reference architecturesLow-Level Design of Data Products and ontologiesArtificial Intelligence / Machine LearningLarge Language Models (LLMs)Agentic AIAI agent architecturesStrong knowledge of the Data technology and solution landscapeTechnologies & PlatformsExperience with the following technologies and platforms is highly appreciated:DatabricksMicrosoft FabricCollibraData Catalog solutionsData Governance platformsKnowledge Graph / Graph Database technologiesTechnologies related to LLMs and Agentic AIRequired Experience8+ years of professional experience in Data / IT.Proven expertise in Data Architecture.Significant experience with Data Modelling, Ontologies, Data Products and Data Mesh.Experience producing Reference Architecture Documents.Strong experience in the detailed design of Data Products and ontologies.Solid understanding of Data Management and Data Governance.Experience working in large-scale, complex and federated environments involving multiple entities.Proven experience or strong knowledge of AI / LLM / Agentic AI architectures.Language RequirementsFluent English and French are mandatory.The working environment is English-speaking.English CV required

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Daily rate:Salary according to profile

We are looking for a Senior Data Architect with strong expertise in Data Architecture, Data Management, Semantic Layers and AI/LLM technologies.

Technical Skills

• Data Architecture
• Data Modelling
• Ontologies
• Knowledge / Expertise Graphs
• Data Products
• Data Mesh
• Data Management
• Data Governance
• Semantic Layer / Semantic Models
• Federated and distributed data architectures
• Data reference architectures
• Low-Level Design of Data Products and ontologies
• Artificial Intelligence / Machine Learning
• Large Language Models (LLMs)
• Agentic AI
• AI agent architectures
• Strong knowledge of the Data technology and solution landscape

Technologies & Platforms

Experience with the following technologies and platforms is highly appreciated:

• Databricks
• Microsoft Fabric
• Collibra
• Data Catalog solutions
• Data Governance platforms
• Knowledge Graph / Graph Database technologies
• Technologies related to LLMs and Agentic AI

Required Experience

• 8+ years of professional experience in Data / IT.
• Proven expertise in Data Architecture.
• Significant experience with Data Modelling, Ontologies, Data Products and Data Mesh.
• Experience producing Reference Architecture Documents.
• Strong experience in the detailed design of Data Products and ontologies.
• Solid understanding of Data Management and Data Governance.
• Experience working in large-scale, complex and federated environments involving multiple entities.
• Proven experience or strong knowledge of AI / LLM / Agentic AI architectures.

Language Requirements

• Fluent English and French are mandatory.
• The working environment is English-speaking.
• English CV required