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 / Incentivos Flexible 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 Architect (Barcelona)
🏢 Ecovadis
📍 Barcelona