We're looking for a Data Architect to lead the design and evolution of a modern enterprise data platform built around Snowflake. The platform supports end-to-end data capabilities across ingestion, transformation, modelling, governance, analytics, data activation, and reverse ETL use cases. Snowflake,, dbt, Matillion, Python, and Terraform form the core of the technology stack, with Data Vault and Data Mesh principles playing a key role in how data is modelled, governed, owned, and delivered across business domains. You'll be responsible for defining scalable architecture patterns, designing robust data models and integration frameworks, establishing governance and platform standards, and enabling trusted data products that can support analytics, operational applications, customer-facing use cases, and downstream activation platforms. This is a hands-on architecture role for someone who combines strategic thinking with strong engineering expertise. You'll work closely with data engineering, analytics, cloud, security, architecture, and business teams to define standards,



guide implementation, and ensure the platform remains scalable, secure, governed, and maintainable.office remoteEuropean UnionRequirementsStrong experience designing and delivering enterprise-scale cloud data platformsDeep hands-on experience with Snowflake, including architecture, performance optimization, security, workload management, and cost optimizationExperience with Data Vault 2.0.Experience with Data Mesh, including domain ownership, data products, federated governance, and data contractsStrong experience with dbt for data transformation, modelling, testing, documentation, and CI/CDHands-on experience with Matillion for data ingestion, orchestration, and integrationStrong SQL skills and good Python experienceExperience with data activation and reverse ETL use casesStrong understanding of data governance, quality, lineage, metadata, observability, security, and access-control principlesExper

📌 Data Architect (Madrid)
🏢 Itransition Group
📍 Madrid