AI-Ready Data Architect: Data Mesh & Strategy

EcoVadis; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellness allowance

Private Health Insurance

Meal Vouchers

Remote work policy

Hybrid in Barcelona

Descripción de la vacante

EcoVadis in Barcelona seeks an Enterprise Data Architect to shape the data platform as a product and drive AI-enabled data mesh. You will bridge business, data and technology, owning the data strategy across analytics, governance, and IT teams.

You will guide architecture for AI readiness, handle GDPR/CCPA compliance, and mentor data teams while collaborating with Product Managers and Data Product Owners to enable scalable, self-service data capabilities.

Formación

• Expertise in data platforms, data warehouses, data lakes, and BI tools.
• Experience with multi-domain architectures like data mesh and lakehouse.
• Proficient with Databricks and AI/ML data workflows.
• Strong data modeling and governance experience.
• Good stakeholder management and communication skills.

Responsabilidades

• Define and drive the Enterprise Data Strategy and roadmaps.
• Own data models, domains, and AI-ready architectures.
• Lead data governance, MLOps and policy development.
• Collaborate with analytics, engineering and product teams.
• Mentor data engineering and analytics teams on best practices.
• Ensure security, compliance (GDPR/CCPA) and data ethics.

Conocimientos

Data platforms

Data mesh

Databricks

Data modeling

Stakeholder management

Educación

CDMP/DAMA, TOGAF, CIPP (optional)

Herramientas

Databricks

Descripción del empleo

EcoVadis in Barcelona seeks an Enterprise Data Architect to shape the data platform as a product and drive AI-enabled data mesh. You will bridge business, data and technology, owning the data strategy across analytics, governance, and IT teams.

You will guide architecture for AI readiness, handle GDPR/CCPA compliance, and mentor data teams while collaborating with Product Managers and Data Product Owners to enable scalable, self-service data capabilities.