Overview 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 Versátil working hours Wellness allowance Remote work Learning and development Private health insurance Paid volunteer day Responsabilidades 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 D&A; leadership Mentor teams and foster technical excellence across people, processes, and technology Requisitos principales 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 & 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) 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 Proactivity and autonomy Strong planning and organizational skills Collaborative and pragmatic mindset Databricks Data mesh / medallion architectures Feature Stores and vector databases

📌 Data Engineer AWS (Financial Sector) (Barcelona)
🏢 Ecovadis
📍 Barcelona