Data Architect

OverviewIn 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 / BeneficiosBudget for trainingWelcome packWellbeing pack2 days for technical eventsCareer planFree unlimited access to UDEMYResponsabilidadesDesign modern data architectures aligned with business objectivesDefine conceptual, logical, and analytical data models for quality and scalabilityEvolve architectures using Lakehouse, Data Mesh, and Medallion modelsDefine ingestion, transformation, and consumption strategies (ETL/ELT)Lead Data Governance initiatives: quality, cataloging, lineage, security, access controlDesign Data Marts and analytical models for data exploitation and valueModernize legacy environments to cloud platformsDefine automation and orchestration for data pipelinesCollaborate with Data Engineering, Analytics, AI, and Cloud teamsEnsure performance, scalability, cost optimization, and regulatory complianceRequisitos principales6+ years in Data environments, with prior Data Architect experienceCloud data architectures (GCP, AWS, or Azure)Dimensional modeling, Data Mart design, analytical architecturesETL/ELT design and implementationKnowledge of DBT or similar data transformation toolsData Governance: catalog, quality, security, lineage, traceabilityFamiliarity with Lakehouse, Data Mesh, Medallion models, or Data Product-oriented architecturesAutomation and Python development for data pipelinesAbility to modernize complex data ecosystems and legacy systemsExperience leading architectural decisions in multidisciplinary teamsTeam playerProactivityGood communication skillsPythonSQLAWS, Azure or GCP

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