Job
- Level
- Senior
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- IT, BI, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 70.000 € gross/year
Job Summary
In this role, you take technical ownership of the Databricks platform, implementing new features and optimizing architecture for scalability and security while actively collaborating with Data and Cloud Engineers.
Job Technologies
Your role in the team
- 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.
- 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 Lakehouse, 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.
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Our expectations of you
Education
- A degree in Computer Science, Engineering, Information Technology or a related field - or equivalent practical experience.
Qualifications
- Starkes Verständnis von Lakehouse-Architektur, Delta Lake und verteilter Datenverarbeitung.
- Gute Kenntnisse in Unity Catalog, Plattform-Sicherheit, Governance und 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.
Experience
- Several years of hands-on experience with Databricks, Apache Spark and Python.
- Experience designing or operating enterprise data platforms in Azure.
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What we offer
- The annual gross salary for this full-time position starts at €70,000.00, with a competitive package based on qualifications, experience, and market values.
- Flexibility: Possibility of remote work and flexible, trust-based working hours.
- Mobility: Annual public transport pass (Wiener Linien).
- Health: Sponsorship of sporting events, platform for mental & physical health (Mavie).
- Plus: Our own café and daily meal allowance for numerous restaurants (Europlaza), corporate benefits platform.
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Benefits
Work-Life-Integration
Higher Take-Home Pay
Food & Drink
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
RHI Magnesita
Wien
At RHI Magnesita, we are the world's leading provider of refractory products and services. We have the most locations around the globe, as well as the most innovative, reliable products and services. Our offerings cover everything from mining to production to full-service solutions, all with a focus on delivering quality and reliability that is unparalleled in our industry.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Senior Databricks Platform Architect
- Salary
- from 70.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 46.429 € net/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
