Data & AI Architecture Leader

Soprasteria1; Brussel; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Soprasteria is seeking an Enterprise Architect specializing in Data & AI to shape the organisation's data and AI landscape. You will define the architecture vision for data, analytics, AI, and Generative AI and ensure scalable, secure, and well-governed platforms aligned with business priorities.

You will bridge business strategy with architecture principles, target-state roadmaps, and guidance for delivery teams, collaborating with data engineering, analytics, and AI specialists to deliver

Qualifications

• Extensive experience in data architecture, solution architecture, or enterprise architecture leadership.
• Experience governing large-scale data platforms (data lakes/warehouses/lakehouses).
• Strong understanding of data modelling: dimensional modelling, Data Vault, data mesh/fabric.
• Knowledge of AI/ML lifecycle, deployment, monitoring, and MLOps practices.
• Familiarity with Generative AI, LLM architectures, RAG, model orchestration.

Responsabilités

• Define and evolve the enterprise Data & AI architecture vision and roadmaps.
• Establish standards for data modelling, governance, data quality, metadata, and lifecycle management.
• Design architectures for modern data platforms across cloud, hybrid, and on-premises.
• Define architecture patterns for AI/ML capabilities and Generative AI governance.

Connaissances

Data architecture

Enterprise architecture

Cloud platforms

AI/ML lifecycle

MLOps

Generative AI

Data governance

TOGAF/Archimate

Outils

Databricks

Snowflake

Azure

AWS

Google Cloud

Description du poste

Soprasteria is seeking an Enterprise Architect specializing in Data & AI to shape the organisation's data and AI landscape. You will define the architecture vision for data, analytics, AI, and Generative AI and ensure scalable, secure, and well-governed platforms aligned with business priorities.

You will bridge business strategy with architecture principles, target-state roadmaps, and guidance for delivery teams, collaborating with data engineering, analytics, and AI specialists to deliver