Data Architect

Hace 2 días

Valladolid, Campiña del Pisuerga (comarca); Provincia de Valladolid; Castilla y León, España Sngular Jornada completa

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Overview In this role you will design scalable, secure data architectures that transform data into a business asset. You will collaborate with Data Engineering, Analytics, Cloud, and AI teams to set standards and governance for modern analytics platforms. The focus is on lakehouse and data mesh paradigms, with modernization and cloud migration at the core. You will enable future growth and responsible data handling while delivering governance-driven solutions. This is a chance to influence data strategy in a client-focused, cross-functional environment. Compensaciones / Beneficios ~ Budget for training ~ Welcome pack ~ Wellbeing pack ~2 days for technical events ~ Career plan ~ Free unlimited access to UDEMY Responsabilidades Design modern data architectures aligned with business objectives Define conceptual, logical, and analytical data models for quality and scalability Evolve architectures using Lakehouse, Data Mesh, and Medallion models Define ingestion, transformation, and consumption strategies (ETL/ELT) Lead Data Governance initiatives: quality, cataloging, lineage, security, access control Design Data Marts and analytical models for data exploitation and value Modernize legacy environments to cloud platforms Define automation and orchestration for data pipelines Collaborate with Data Engineering, Analytics, AI, and Cloud teams Ensure performance, scalability, cost optimization, and regulatory compliance Requisitos principales ~6+ years in Data environments, with prior Data Architect experience ~ Cloud data architectures (GCP, AWS, or Azure) ~ Dimensional modeling, Data Mart design, analytical architectures ~ ETL/ELT design and implementation ~ Knowledge of DBT or similar data transformation tools ~ Data Governance: catalog, quality, security, lineage, traceability ~ Familiarity with Lakehouse, Data Mesh, Medallion models, or Data Product-oriented architectures ~ Automation and Python development for data pipelines ~ Ability to modernize complex data ecosystems and legacy systems ~ Experience leading architectural decisions in multidisciplinary teams Team player Proactivity Good communication skills Python SQL AWS, Azure or GCP

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