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# Senior Databricks Platform Architect (all genders)

- **Company:** RHI Magnesita
- **Location:** Wien, Austria
- **Experience:** Expert
- **Salary:** €70,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Distributed Computing Environment, Python (Programming Language), Standard Sql, Enterprise Data Management, Cloud Platform System, Data Ingestion, Apache Spark, Git, Data Lakes, Infrastructure Automation Frameworks, Information Technology, SAP S/4HANA, Databricks
- **Published:** August 21, 2026
- **Apply:** https://careerjet.at/jobad/at35e83534c831781e1983b2588c1c1fb4

## About the Role

* A degree in Computer Science, Engineering, Information Technology or a related field - or equivalent practical experience
 * Several years of hands-on experience with Databricks, Apache Spark and Python
 * Strong understanding of Lakehouse architecture, Delta Lake and distributed data processing
 * Experience designing or operating enterprise data platforms in Azure
 * Good knowledge of Unity Catalog, platform security, governance and CI/CD
 * The ability to move between architecture and hands-on implementation
 * A pragmatic mindset and the confidence to take technical ownership and make decisions

Languages: English - fluent

## Description

As our Senior Databricks Platform Architect, you will take technical ownership of the evolution of our Databricks platform and help define where we go next. You will work hands-on with the platform, introduce new capabilities, and ensure it remains secure, scalable, cost-efficient, and production-ready. You will be the technical go-to person for Databricks, working closely with Data Engineers, Cloud Engineers, Product Owners and external implementation partners. From architecture decisions to troubleshooting complex issues, you will combine technical direction with pragmatic, hands-on execution. Databricks evolves quickly, and we want our platform to evolve with it. You will have the opportunity to evaluate new capabilities, decide what makes sense for our environment, and bring the most valuable ones into production.
Your tasks

 * Building, configuring, and continuously improving our Databricks platform, with a strong focus on scalability, reliability, and production readiness
 * Introducing and implementing new Databricks capabilities, including Lakeflow, Unity Catalog and Spark Declarative Pipelines
 * Developing scalable Python and Spark frameworks and modern data ingestion architectures within Databricks
 * Optimizing the Databricks platform across performance, security, governance, observability, and cost
 * Automating Databricks deployments and platform operations using Azure DevOps, CI/CD, and Infrastructure as Code

Our tech stack

 * Databricks * Apache Spark * Python * Delta Lake * Lakeflow * Spark Declarative Pipelines * Unity Catalog * Azure * Azure DevOps * Git * SQL * SAP S/4HANA


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