{"id":79359,"url":"https://alion.io/job/ecovadis-data-architect-2","title":"Data Architect","company":{"id":1975,"name":"EcoVadis","domain":"ecovadis.com","url":"https://alion.io/company/ecovadis","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":144000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":691},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"GDPR","optional":false},{"name":"LLM","optional":false},{"name":"SQL","optional":false},{"name":"Gemini","optional":true}],"status":"live","first_seen_at":"2026-07-14T10:07:47Z","employer_posted_date":"2026-07-14","last_verified_at":"2026-10-16T20:23:42Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":94},"description":"Work smart, have fun and make an impact!\nEcoVadis 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.\nWhy apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.\nLearn more about our team and culture on EcoVadis careers page.\n As EcoVadis continues to evolve its business and expand its product portfolio, we are embedding AI more deeply into how we operate. 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.\nKey Responsibilities\nEnterprise Data Strategy\nBuilding target architectures and long-term strategic roadmaps alongside Solutions, Engineering, Data and IT teams.\n\nBecome the owner of the Data Strategy on the architecture side, translating complex business needs into pragmatic, future-proof architectures.\n\nDefine and govern Enterprise Data Models and Domains, expanding beyond traditional analytics to AI/ML workloads.\n\nLead 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.\n\nEmerging Technologies\nExplore and validate new solutions in the data platform space based on business requirements or research.\n\nPerform technical Proof of Concepts, document them, and assist teams in industrializing them.\n\nMonitor new technological advances to assist teams in reducing technical debt and adopt the right tooling\n\nData Governance & MLOps\nCollaborate with Data Governance and AI teams to:\nContinuously improve architecture governance practices.\n\nDevelop and maintain policies, standards, and guidelines to ensure a consistent framework is applied across the data platform.\n\nIdentify discrepancies between the technical architecture, agreed practices, and system designs proposed by project teams.\n\nEnsure architectures adhere to data compliance frameworks (e.g., GDPR, CCPA) and ethical considerations in AI/ML model deployment.\n\nCollaboration & Data Product Enablement\nCollaborate with Product Managers and Data Product Owners to enable Data as a Product, ensuring they are designed for reusability, scalability, and self-service consumption.\n\nDefine best practices for the development, maintenance, and lifecycle management of data products.\n\nAct 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.\n\nAdvise business and technical stakeholders on self-service data platform capabilities to maximize value.\n\nPartner with IT team members to ensure architecture aligns with security strategy and policies.\n\nOperational Excellence\nDrive continuous improvement and help drive the adoption of new data tools and practices.\n\nApply a pragmatic approach to governance and application portfolio rationalization.\n\nBe an active part of the D&A leadership team.\n\nPersonal Attributes\nHigh level of proactivity and autonomy\n\nStrong planning, prioritization, and organizational skills\n\nPragmatic mindset with a focus on evolution over big-bang transformations\n\nComfortable challenging assumptions while remaining collaborative\n\nMust be a team player with a high degree of self-organization.\n\nGood stakeholder management skills, proficiency in communication, and strong facilitation skills.\n\nApproach architecture by going beyond technical components to include people, process, and technology as a whole.\n\n Very good knowledge of data platforms in general, i.e. data warehouses, data lakes, lakehouses, BI tools, embedded analytics solutions.\n\nExpertize in multi-domain analytical architectures, i.e. data mesh, medallion architecture, self-service analytics & BI.\n\nSpecific experience with Databricks is a must.\n\nExperience with enterprise data models design, knowledge of various data modeling patterns, data engineering practices, data management standards i.e. DAMA.\n\nAt least 5 years focusing on architecture (any of: data architecture, solution architecture, enterprise architecture).\n\nBroad understanding of technical aspects of data integration, including data catalogs, data quality, solution maintainability, performance and security.\n\nPractical experience with concepts such as MDM, RDM, CDP, ETL, ELT, rETL, SQL, noSQL, near-real time analytics.\n\nApproach going beyond only technical components of architecture, but rather including people - process - technology as a whole.\n\nExperience 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.\n\nGood stakeholder management skills; proficiency in verbal and written communication; facilitation skills.\n\nPragmatic approach to governance & application portfolio rationalization.\n\nData Compliance and Ethics:data compliance frameworks (e.g., GDPR, CCPA, SOX) and ethical considerations in data usage and AI/ML model deployment.\n\nMust be a team player, but with a high degree of self-organization.\n\nAbility to mentor and guide teams, fostering a culture of technical excellence and innovation.\n\nRelevant certifications (i.e. CDMP/DAMA, TOGAF, CIPP) would be a plus.\n\n Offer available only for candidates eligible to work and live in Spain\n\nLocation: Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain\n\nIn return for your expertise, we offer:\nSupport with all the necessary office and IT equipment\nFlexible working hours\nWellness allowance for mental and physical wellbeing\nAccess to professional mental health support\nReferral bonus policy\nLearning and development \nSustainability events and community involvement\nPeer recognition program\nEmployee-led resource groups\nRemote work from abroad policy\nMeals and Transportation Vouchers (Coverflex card)\nDental Benefits \nLife & Accident Insurance + Private Health Insurance\nPaid employee volunteer day\nPaid moving day (1/year)\nTime off: 1 Community Service Day + 1 Personal Day\nSummer Hours in July and August (36 hours per week)\nHybrid Monthly Allowance for electricity and Internet\nOur hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!\nDon’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background.\nCan the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.\nOur team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. 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).\nOur recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. 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. 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