Definirá patrones de arquitectura para Lakehouse, Warehouse, modelos semánticos, Direct Lake, pipelines, notebooks, Dataflows Gen2 y gobierno del dato.
Establecerá estándares técnicos para proyectos Fabric: workspaces, entornos, naming, seguridad, despliegues, calidad, documentación y operación.
Liderará técnicamente proyectos de implantación, migración y modernización de plataformas de datos.
Tomará decisiones técnicas sobre rendimiento, coste, seguridad, escalabilidad y gobierno.
Guiará técnicamente a perfiles data engineer, BI developer y consultores durante la ejecución.
Ayudará a consolidar una base técnica reutilizable que acelere los proyectos Fabric de Raona.
Participa en proyectos innovadores, colaborando con equipos multidisciplinares y siendo parte activa en la evolución de las soluciones y procesos.
Requisitos
Experiencia senior diseñando e implantando plataformas de datos cloud en producción.
Conocimiento avanzado y demostrable de Microsoft Fabric o del ecosistema Azure Data.
Capacidad hands‑on para construir soluciones con Lakehouse, Warehouse, pipelines, notebooks, modelos semánticos y Power BI.
Conocimiento sólido de arquitectura de datos moderna: medallion, modelos dimensionales, data marts, historificación y cargas incrementales.
Experiencia en optimización de rendimiento y coste (Direct Lake vs Import, particionado, incremental refresh, DAX, control de capacidad).
Conocimiento de Git, CI/CD, deployment pipelines y prácticas de ALM.
Valorable: Snowflake, dbt, Microsoft Purview, migraciones desde entornos legacy, certificaciones Microsoft.
Autonomía y criterio técnico para tomar decisiones de arquitectura y defenderlas.
Capacidad de actuar como referente técnico y guiar a otros perfiles.
Comunicación clara de decisiones técnicas a perfiles técnicos y no técnicos.
Persona con ganas de aprender, aportar ideas y seguir creciendo dentro del mundo tech.
Competencias Clave
Demonstrates expertise in designing and implementing cloud data platforms using Microsoft Fabric and Azure Data, with a strong focus on data architecture, performance optimization, and technical leadership. Capable of guiding teams in building reusable technical components and ensuring adherence to best practices in data governance and project execution.
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