Data Architect

Key Responsibilities

• 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.

Required 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