Experteer Overview

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As Enterprise Data Architect, you will shape EcoVadis' data platform into a scalable, AI-enabled data mesh. You’ll align business needs with technology strategy, guiding data models, domains, and governance while enabling AI workloads and real-time ML operations. You’ll partner with Analytics, Data Engineering, Governance, and AI teams to deliver future-proof, compliant architectures that support data-as-a-product. This role offers impact at scale in a mission-driven, collaborative culture.

Compensaciones / Beneficios
• Define target architectures and long-term roadmaps with cross-functional teams
• Own the architecture side of Data Strategy and translate business needs into pragmatic architectures
• Govern Enterprise Data Models and Domains, including AI/ML workloads
• Design for AI-readiness by integrating Feature Stores, Vector Databases, and related tech
• Explore and validate new data platform solutions; perform PoCs and industrialize them
• Collaborate on Data Governance and MLOps to improve governance and standards
• Enable Data as a Product with reusable, scalable data products; mentor Data Eng and Analytics teams
• Advise on self-service data platform capabilities and ensure alignment with security policies




• Drive continuous improvement and tool adoption; participate in Du0026A leadership
• Mentor teams and foster technical excellence across people, processes, and technology

Responsabilidades
• Very good knowledge of data platforms (data warehouses, data lakes, lakehouses, BI tools, embedded analytics)
• Expertise in multi-domain architectures (data mesh, medallion architecture, self-service analytics u0026 BI)
• Specific experience with Databricks
• Experience with enterprise data models design and data engineering practices (DAMA)
• At least 5 years in architecture roles (data/solution/enterprise)
• xqbhyrx Broad understanding of data integration, catalogs, quality, maintainability, performance, security
• Hands-on experience with SDLC stages, vendor selection, workshops, and solution adoption
• Strong stakeholder management and communication skills
• Mentorship ability and capability to foster innovation
• Knowledge of data compliance and ethics in AI/ML deployments (GDPR, CCPA, SOX)
• Certifications (CDMP/DAMA, TOGAF, CIPP) would be a plus

Requisitos principales
• Flexible working hours
• Wellness allowance
• Remote work
• Learning and development
• Private health insurance
• Paid volunteer day

📌 Data Architect (Barcelona)
🏢 Ecovadis
📍 Barcelona