Global Databricks Enablement Lead

G MASS

Dublin

Híbrido

EUR 150.000 - 190.000

Jornada completa

Hace 4 días
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Descripción de la vacante

G MASS is seeking an experienced Data Engineering Enablement Lead to guide a cross‑location team across Europe and North America. You will shape architecture, drive best practices, and partner with stakeholders to maximize the central data platform built on Databricks.

The role emphasizes design over hands-on coding, acting as a trusted advisor on performance, security, and scalability while fostering AI-driven development and strong governance.

Formación

  • Solid grounding in data modeling, SQL, Python/Spark, ETL/ELT patterns and cloud platforms (AWS preferred).
  • Strong Databricks expertise with architecture or solution design background.
  • Consulting or client-facing experience with relationship management skills.
  • Hands-on experience using AI tools in the development process.
  • Excellent communication and stakeholder management abilities.
  • Experience leading cross-location teams across Europe and North America.

Responsabilidades

  • Lead and develop a cross-location data enablement team across Dublin and Toronto.
  • Define solution designs, reference architectures, and standards on Databricks (Delta Lake, Lakehouse, Unity Catalog).
  • Coach teams on platform adoption, governance, and pipeline optimization.
  • Collaborate with business and technology stakeholders to translate needs into platform solutions.
  • Champion AI-assisted development and help teams leverage it effectively.
  • Guide architecture decisions and best practices in performance, security, and scalability.

Descripción del empleo

G MASS is seeking an experienced Data Engineering Enablement Lead to guide a cross‑location team across Europe and North America. You will shape architecture, drive best practices, and partner with stakeholders to maximize the central data platform built on Databricks.

The role emphasizes design over hands-on coding, acting as a trusted advisor on performance, security, and scalability while fostering AI-driven development and strong governance.

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