AI‑Ready Data Architect — Enterprise Architecture Lead

Airbus; Marignane; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Company restaurant

Transport facilities

Résumé du poste

Airbus Helicopters is seeking a skilled Data Architect to drive the Data Strategy within the Centre of Excellence for Data & Analytics. The role focuses on building scalable architectures, aligning with the Enterprise Architecture, and promoting standardized technology usage across the organization.

You will lead data modeling efforts, ensure data lineage and security standards, and collaborate with stakeholders to enable AI-ready data ecosystems in a complex environment.

Qualifications

• Advanced English and French language skills are required.
• Ability to address complex topics/environments.
• Autonomy and adaptability in a dynamic setting.

Responsabilités

• Provide the technical roadmap and scalable architecture to translate the Data Strategy into action.
• Define and enforce a unified catalog of approved technologies to prevent fragmentation.
• Coordinate the architecture community of practice across solution and data architecture teams.
• Ensure architectural roadmaps align with corporate strategy and risk mandates.
• Guide tool selection and metadata requirements before procurement and drive adoption readiness.
• Lead the design of complex relational and non-relational data models for transactional and analytical topics.
• Establish enterprise-wide standards for data lineage, metadata management, and security.

Connaissances

Advanced English

Advanced French

Autonomous

Flexible

Curious

Description du poste

Airbus Helicopters is seeking a skilled Data Architect to drive the Data Strategy within the Centre of Excellence for Data & Analytics. The role focuses on building scalable architectures, aligning with the Enterprise Architecture, and promoting standardized technology usage across the organization.

You will lead data modeling efforts, ensure data lineage and security standards, and collaborate with stakeholders to enable AI-ready data ecosystems in a complex environment.