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In this role, you design innovative AI and analytics solutions, architect scalable data frameworks, develop guidelines, and lead IT projects to optimize data strategies effectively.
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Your role in the team
- As a Data & AI Platform Architect, you will play a key role in our global IT team and shape innovative AI and Data Engineering solutions with real impact.
- In this position, you will design and develop innovative platforms and architectures for the team sports sector, such as for EHC Red Bull Munich, as well as for many other non-beverage business areas of Red Bull.
- As a Data & AI Platform Architect, you are the technical sparring partner for these solutions and a driving force behind high-performance AI and Data Engineering services.
- As a Data & AI Platform Architect, you are responsible for the architecture, design, and implementation of scalable and high-performance AI and analytics solutions, including AI/ML platforms, analytics stacks, and modern engineering practices.
- In close collaboration with Solution Architects, Data Analysts, Data Engineers, and IT teams, you develop reference architectures and guidelines, ensure a consistent analytics landscape, and translate business requirements as well as complex technical concepts into clear, practical solution designs in coordination with relevant stakeholders.
- You assume the role of Platform and Service Owner for assigned AI and Analytics applications, define their strategic development, and are responsible for operational management.
- Furthermore, you develop governance frameworks and best practices to ensure the effective use of platforms, taking into account regulatory requirements, data protection policies, and standards.
- You lead and support IT projects and programs according to established project management methodologies, ensuring successful implementation through efficient management of budgets, schedules, and resources.
- Additionally, you support negotiations and maintain sustainable relationships with external service providers and partners.
- In this role, you support as a subject matter expert in analyzing and resolving issues in the fields of AI and Data Engineering, optimize application performance, and ensure compliance with data security and privacy requirements.
- Through continuous engagement with current and future trends in AI, analytics, and software engineering, you promote best practices and drive ongoing development.
Our expectations of you
Education
- Completed degree in Business Informatics, Computer Science, Data Engineering, or comparable professional experience with a strong focus on Artificial Intelligence, Data Analytics, Large Language Models (LLMs), and Software Engineering.
Qualifications
- Very good spoken and written English skills; German language skills are an advantage.
- In-depth knowledge of Data Warehousing, data modeling, and ELT/ETL tools (e.g., dbt, Dagster, Fivetran).
- Proven success in managing IT projects and programs.
- Travel willingness 0-10%.
Experience
- At least 5 years of professional experience in IT, software, or data engineering.
- Proven experience with modern Data-Cloud platforms (e.g., Snowflake, Databricks, BigQuery, or comparable solutions) as well as with leading cloud platforms (Azure, AWS, or GCP).
- Extensive experience in designing scalable data architectures.
- Practical experience in designing and implementing LLM-based solutions (e.g., RAG architectures, vector databases, agent-based workflows).
What we offer
- For legal reasons, we are obliged to point out that the collective agreement minimum salary for this position is EUR 2,535 gross per month.
- Our attractive salary packages, however, are aligned with current market salaries and therefore significantly exceed the specified minimum salary.
Topics you will work on
Job locations
About your employer
Elsbethen, Fuschl Am See, Wals-Siezenheim, Wien
Red Bull Media House is an award-winning, globally distributed multi-platform media company on a mission to inspire with ‘beyond the ordinary’ stories - both direct-to-consumer and through partnerships.
- 250+ Employees
- 2007
- German, English
- Established Company
- Onsite, Hybrid, Full Remote
- Media, Publishing
Employer reviews
- Working conditions
- 4.0
- Engineering
- 3.0
- Team culture
- 3.5
- Career growth
- 3.0
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