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# Data Architect

- **Company:** Ecovadis Sas
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Warehousing, Systems Development Life Cycle, Enterprise Data Management, Data Strategy, Togaf, Data Lakes, Data Management, Machine Learning Operations, Databricks
- **Published:** August 9, 2026
- **Apply:** https://www.buscojobs.com.es/data-architect-en-barcelona-ID-366716286

## About the Role

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 u**** 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 plusRequisitos principales* Flexible working hours* Wellness allowance* Remote work* Learning and development* Private health insurance* Paid volunteer day

## Description

Experteer Overview ¿Es usted el solicitante adecuado para esta oportunidad?Descúbralo leyendo el resumen del puesto a continuación.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 Du****A leadership* Mentor teams and foster technical excellence across people, processes, and technologyResponsabilidades* 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 u**** 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 plusRequisitos principales* Flexible working hours* Wellness allowance* Remote work* Learning and development* Private health insurance* Paid volunteer day


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