Data Model – Semantics Architect

ArchitectArchitectFull TimeRemoteLeadTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

Italy

Posted

3 days ago

Salary

0

Seniority

Lead

Bachelor Degree8 yrs expSpanishEnglishBigQueryCloud

Job Description

Data Model – Semantics Architect

SDG Group

• Implicarse y liderar conversaciones, modelos y decisiones que estructuran los datos de una empresa global , transformando procesos de negocio complejos en modelos de información claros, reutilizables y alineados con la estrategia de datos. • Mantener y evolucionar el Enterprise Data Model y el Data Domain Map de la organización. • Definir conceptos, taxonomías y estándares semánticos que todos puedan entender y aplicar. • Reuniones con stakeholders de negocio senior para entender cómo funciona el negocio y modelarlo en estructuras de información consistentes. • Colaborar con equipos de datos, arquitectura de soluciones e ingeniería para asegurar la correcta implementación de los modelos en entornos basados en Google Cloud y herramientas de analítica como Power BI. • Definir e impulsar buenas prácticas de modelado en toda la organización, fomentando la adopción de modelos compartidos entre diferentes dominios de negocio. • Garantizar la alineación entre arquitectura de información, gobierno del dato y calidad de datos. • Participar en la mejora continua de herramientas como catálogos de datos y sistemas de gestión de metadatos.

Job Requirements

  • +8 años de experiencia como Information Architect, Data Architect o rol similar.
  • Capacidad de convertir conceptos de negocio complejos en modelos de datos claros y accionables.
  • Experiencia sólida en modelado conceptual y lógico a nivel empresa.
  • Experiencia en modelado semántico, taxonomías, ontologías y glosarios de negocio.
  • Sentirte familiarizado en entornos de data governance y arquitectura empresarial.
  • Experiencia en entornos de datos en Google Cloud (BigQuery) y herramientas de visualización como Power BI, así como otras tecnologías del ecosistema Google.
  • Habilidades comunicativas: Nivel alto de comunicación tanto en español como inglés.

Benefits

  • Posición estable y con proyección : tendrás la oportunidad de construir tu carrera a largo plazo, en proyectos de Data & Analytics que generan impacto de verdad.
  • Formación continua : certificaciones oficiales, conferencias, workshops y cursos.
  • Retribución flexible : ticket restaurante, ticket guardería, ayuda al transporte y seguro médico privado con Mapfre, extensible a tu familia.
  • Flexibilidad : Modelo de trabajo híbrido o modalidad 100% remoto. Jornada intensiva los viernes y durante julio y agosto.

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