Company DescriptionWork smart, have fun and make an impact!EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.Be a part of the integral sustainability change in business.

The Enterprise Data

Architect plays a critical role in sustaining the growth. Sitting at the intersection of business, data, and technology, you will bridge business strategy and technology strategy, acting as the technical "North Star," to evolve our Data Platform into a high-performance data mesh ecosystem that treats data as a product and AI as a core competency. You will bridge the gap between traditional data modeling and the emerging needs of Generative AI, AI Agent consumption, LLM orchestration, and real-time MLOps. You will be the owner of the Data Strategy on the architecture side, supporting multiple teams including Analytics, BI, Data Engineering, Data Governance, Engineering and AI/ML teams to ensure our ecosystem remains scalable, resilient, and AI-enabled. Key ResponsibilitiesEnterprise Data StrategyBuilding target architectures and long-term strategic roadmaps alongside Solutions, Engineering, Data and IT teams.Become the owner of the Data Strategy on the architecture side, translating complex business needs into pragmatic, future-proof architectures.Define and govern Enterprise Data Models and Domains, expanding beyond traditional analytics to AI/ML workloads.Lead the architecture side of the Data Strategy, specifically designing for "AI-readiness" by integrating Feature Stores, Vector Databases and other technologies into our long-term roadmap.Emerging TechnologiesExplore and validate new solutions in the data platform space based on business requirements or research.Monitor new technological advances to assist teams in reducing technical debt and adopt the right toolingData Governance &

• MLOpsCollaborate with Data Governance and AI teams to:Develop and maintain policies, standards, and guidelines to ensure a consistent framework is applied across the data platform.Identify discrepancies between the technical architecture, agreed practices,



and system designs proposed by project teams.Ensure architectures adhere to data compliance frameworks (e.g., GDPR, CCPA) and ethical considerations in AI/ML model deployment.Collaboration &

• Data Product EnablementCollaborate with Product Managers and Data Product Owners to enable Data as a Product, ensuring they are designed for reusability, scalability, and self-service consumption.Define best practices for the development, maintenance, and lifecycle management of data products.Act as a hands-on mentor to Data Engineering and Analytics teams, guiding them on day-to-day data modeling patterns, best practices, and execution choices.Advise business and technical stakeholders on self-service data platform capabilities to maximize value.Partner with IT team members to ensure architecture aligns with security strategy and policies.Operational ExcellenceDrive continuous improvement and help drive the adoption of new data tools and practices.QualificationsVery good knowledge of data platforms in general, i.e. data warehouses, data lakes, lakehouses, BI tools, embedded analytics solutions.Expertize in multi-domain analytical architectures, i.e. data mesh, medallion architecture, self-service analytics &

• BI.Experience with enterprise data models design, knowledge of various data modeling patterns, data engineering practices, data management standards i.e. At least 5 years focusing on architecture (any of: data architecture, solution architecture, enterprise architecture).Broad understanding of technical aspects of data integration, including data catalogs, data quality, solution maintainability, performance and security.Practical experience with concepts such as MDM, RDM, CDP, ETL, ELT, rETL, SQL, noSQL, near-real time analytics.Experience with all stages of SDLC - from building vision & strategy, through solution design, vendor selection process in some projects, technical design,



leading workshops, assisting implementation teams & troubleshooting issues and driving solution adoption.Data Compliance and Ethics:data compliance frameworks (e.g., GDPR, CCPA, SOX) and ethical considerations in data usage and AI/ML model deployment.Hybrid in Barcelona (4 days per month in the office) / Full remote from SpainIn return for your expertise, we offer:Support with all the necessary office and IT equipmentFlexible working hoursWellness allowance for mental and physical wellbeingAccess to professional mental health supportReferral bonus policyLearning and development Sustainability events and community involvementPeer recognition programEmployee-led resource groupsRemote work from abroad policyMeals and Transportation Vouchers (Coverflex card)Dental Benefits Life &

• Accident Insurance + Private Health InsurancePaid employee volunteer dayPaid moving day (1/year)Time off: 1 Community Service Day + 1 Personal DaySummer Hours in July and August (36 hours per week)Hybrid Monthly Allowance for electricity and InternetOur hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background.We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. Mid-Senior LevelIndustry: Information Technology And Services

📌 Data Architect / BI Architect (Barcelona)
🏢 Ecovadis
📍 Barcelona