Data Architect

🕒 il y a 1 mois

🇪🇸 Espagne – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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EcoVadis

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2007

💼 Conseil

🏥 Santé

📦 Logistique

💰 Secondary Market en 2022-11

Consulting • Healthcare • Logistics

EcoVadis est une entreprise SaaS qui propose des solutions d'intelligence de durabilité pour des entreprises de toutes tailles et industries, axées sur la gestion des risques ESG, la conformité et les objectifs de durabilité d'entreprise. La plateforme fournit des services tels que des évaluations de durabilité, une cartographie des risques, la gestion du carbone, et la diligence raisonnable pour aider les entreprises à améliorer leur performance en matière de durabilité. EcoVadis couvre plus de 180 pays et 220 industries, offrant des insights détaillés pour soutenir la durabilité de la chaîne d'approvisionnement et la conformité avec les réglementations mondiales. L'entreprise propose également des ressources telles que l'Académie de formation EcoVadis pour aider les entreprises à atteindre des objectifs de durabilité spécifiques, y compris les objectifs de carbone zéro net. EcoVadis sert une large gamme d'industries, y compris la finance, l'industrie pharmaceutique, les biens de consommation, et bien plus encore.

Description

• Building 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. • Explore and validate new solutions in the data platform space based on business requirements or research. • Perform technical Proof of Concepts, document them, and assist teams in industrializing them. • Monitor new technological advances to assist teams in reducing technical debt and adopt the right tooling. • Collaborate with Data Governance and AI teams to continuously improve architecture governance practices. • 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. • Collaborate 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. • Drive continuous improvement and help drive the adoption of new data tools and practices.

🎯 Exigences

• Very 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. • Specific experience with Databricks is a must. • Experience with enterprise data models design, knowledge of various data modeling patterns, data engineering practices, data management standards i.e. DAMA. • 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. • Approach going beyond only technical components of architecture, but rather including people - process - technology as a whole. • 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. • Good stakeholder management skills; proficiency in verbal and written communication; facilitation skills. • Pragmatic approach to governance & application portfolio rationalization. • Data Compliance and Ethics:data compliance frameworks (e.g., GDPR, CCPA, SOX) and ethical considerations in data usage and AI/ML model deployment. • Must be a team player, but with a high degree of self-organization. • Ability to mentor and guide teams, fostering a culture of technical excellence and innovation. • Relevant certifications (i.e. CDMP/DAMA, TOGAF, CIPP) would be a plus.

🏖️ Avantages

• Support with all the necessary office and IT equipment • Flexible working hours • Wellness allowance for mental and physical wellbeing • Access to professional mental health support • Referral bonus policy • Learning and development • Sustainability events and community involvement • Peer recognition program • Employee-led resource groups • Remote work from abroad policy • Meals and Transportation Vouchers (Coverflex card) • Dental Benefits • Life & Accident Insurance + Private Health Insurance • Paid employee volunteer day • Paid moving day (1/year) • Time off: 1 Community Service Day + 1 Personal Day • Summer Hours in July and August (36 hours per week) • Hybrid Monthly Allowance for electricity and Internet