Senior Data Platform Architect: Azure Databricks Data Mesh

V-IT NV; Brussel; Hybride; EUR 100 000 - 150 000; Plein temps

Résumé du poste

V-IT NV in Brussels is seeking a Data Platform Architect (Senior/Principal) to own and evolve the platform built on Azure and Databricks. You will lead the architecture, roadmap, and governance, balancing stabilization, cost, and new capabilities, with Databricks central to the platform.

You will design Unity Catalog, workspace topology, end-to-end platform security, FinOps, observability, and data quality, while guiding the platform team and collaborating with data product teams and

Qualifications

• 8+ years in data engineering or platform roles, incl. 3+ years architecting production data platforms.
• Strong Azure expertise with Databricks deep knowledge and security/governance focus.
• Experience designing landing zones and automation for multi-team environments.

Responsabilités

• Assess current platform and develop a prioritized roadmap for stabilization and new developments.
• Own and evolve end-to-end platform architecture, considering cost, resiliency, automation, and security.
• Develop the Databricks architecture including Unity Catalog design and performance standards.
• Incrementally evolve the platform without disrupting existing domains.
• Define platform security architecture in collaboration with security teams.
• Lead data mesh operating model with domain ownership and data product contracts.

Connaissances

Azure

Databricks

Python

SQL

Spark

Unity Catalog

Terraform

Data mesh

Security governance

Event Hubs / Kafka

Outils

Unity Catalog

Terraform

Description du poste

V-IT NV in Brussels is seeking a Data Platform Architect (Senior/Principal) to own and evolve the platform built on Azure and Databricks. You will lead the architecture, roadmap, and governance, balancing stabilization, cost, and new capabilities, with Databricks central to the platform.

You will design Unity Catalog, workspace topology, end-to-end platform security, FinOps, observability, and data quality, while guiding the platform team and collaborating with data product teams and