OverviewNo deje pasar esta ocasión, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.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 / BeneficiosFlexible working hoursWellness allowanceRemote workLearning and developmentPrivate health insurancePaid volunteer dayResponsabilidadesDefine target architectures and long-term roadmaps with cross-functional teamsOwn the architecture side of Data Strategy and translate business needs into pragmatic architecturesGovern Enterprise Data Models and Domains, including AI/ML workloadsDesign for AI-readiness by integrating Feature Stores, Vector Databases, and related techExplore and validate new data platform solutions; perform PoCs and industrialize themCollaborate on Data Governance and MLOps to improve governance and standardsEnable Data as a Product with reusable,



scalable data products; mentor Data Eng and Analytics teamsAdvise on self-service data platform capabilities and ensure alignment with security policiesDrive continuous improvement and tool adoption; participate in D&A leadershipMentor teams and foster technical excellence across people, processes, and technologyRequisitos principalesVery 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 & BI)Specific experience with DatabricksExperience with enterprise data models design and data engineering practices (DAMA)At least 5 years in architecture roles (data/solution/enterprise) xhfqzwm Broad understanding of data integration, catalogs, quality, maintainability, performance, securityHands-on experience with SDLC stages, vendor selection, workshops, and solution adoptionStrong stakeholder management and communication skillsMentorship ability and capability to foster innovationKnowledge of data compliance and ethics in AI/ML deployments (GDPR, CCPA, SOX)Certifications (CDMP/DAMA, TOGAF, CIPP) would be a plusProactivity and autonomyStrong planning and organizational skillsCollaborative and pragmatic mindsetDatabricksData mesh / medallion architecturesFeature Stores and vector databases

📌 Data Architect - Ecovadis (Eixample)
🏢 Global Chemical
📍 Eixample