Senior Databricks Platform Architect — Hybrid & Scalable

RHI Magnesita N.V.; Wien; Hybrid; EUR 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Home office flexibility

Annual transport pass (Vienna)

Health & wellness programs

Café and daily meal allowance

Zusammenfassung

RHI Magnesita is seeking a Senior Databricks Platform Architect to own the evolution of our Databricks platform. You will work hands-on, guide architecture decisions, and ensure security, scalability, and production readiness.

Collaborate with Data Engineers, Cloud Engineers, Product Owners and partners to bring valuable capabilities into production. You will evaluate new capabilities, design scalable Python/Spark frameworks, and optimize performance, governance, and cost while maintaining an

Qualifikationen

• Degree in CS/engineering/IT or equivalent
• Hands-on Databricks, Spark and Python experience
• Strong knowledge of Lakehouse architecture and Delta Lake
• Experience designing/operating enterprise data platforms on Azure
• Knowledge of Unity Catalog, security, governance and CI/CD
• Ability to move between architecture and implementation

Aufgaben

• Build, configure and improve the Databricks platform with a focus on scalability and production readiness
• Introduce and implement Databricks capabilities (Lakeflow, Unity Catalog, Spark Declarative Pipelines)
• Develop scalable Python/Spark frameworks and data ingestion architectures in Databricks
• Optimize platform performance, security, governance, observability and cost
• Automate Databricks deployments and platform operations using Azure DevOps, CI/CD and Infrastructure as Code

Kenntnisse

Databricks

Apache Spark

Python

Lakehouse

Delta Lake

Azure

Unity Catalog

CI/CD

Platform security

Ausbildung

Degree in Computer Science/Engineering/IT or related field

Tools

Databricks

Jobbeschreibung

RHI Magnesita is seeking a Senior Databricks Platform Architect to own the evolution of our Databricks platform. You will work hands-on, guide architecture decisions, and ensure security, scalability, and production readiness.

Collaborate with Data Engineers, Cloud Engineers, Product Owners and partners to bring valuable capabilities into production. You will evaluate new capabilities, design scalable Python/Spark frameworks, and optimize performance, governance, and cost while maintaining an