Clubs, Teams & Franchises
Data & AI Platform Architect
Mid Level
Elsbethen, Austria
in office
Full time
Job description
About the Role
The Data & AI Platform Architect is a pivotal role within the global IT team, created to design and architect cutting-edge AI and data engineering solutions across team sports — including clubs like EHC Red Bull München — and Red Bull's dynamic non-beverage businesses. The role acts as a trusted technical partner, shaping AI and data engineering services while leading impactful IT projects from strategy through execution. The architect also strengthens and evolves the IT system architecture of subsidiaries, ensuring every solution supports business goals and fits seamlessly into the broader IT strategy.
Key Responsibilities
- Lead the architecture, design, and implementation of scalable, high-performing AI and analytics solutions, including AI/ML platforms, analytics stacks, and modern engineering practices.
- Develop reusable reference architectures and guidelines in collaboration with solution architects, data analysts, data engineers, and IT teams.
- Ensure a consistent and coherent analytics landscape across the organisation.
- Translate business needs and complex technical concepts into clear, actionable solution designs aligned with key stakeholders.
- Act as Platform and Service Owner for assigned AI and analytics applications, shaping their strategic direction and overseeing operational management.
- Define governance frameworks and best practices to ensure compliant, responsible, and effective platform use in line with regulatory, data privacy, and ethical standards.
- Lead and support IT projects and programmes in line with established project management methodologies, managing budgets, timelines, and resources to ensure efficient delivery.
- Oversee sourcing and contract processes, support negotiations, and manage vendor relationships.
- Provide expert support in troubleshooting AI and data engineering issues, optimising application performance, and ensuring compliance with data security and privacy requirements.
- Stay up to date with current and emerging AI, analytics, and engineering trends to help drive best practices and continuous improvement.
Required Experience & Qualifications
- Higher education in Information Systems, Data Engineering, or equivalent work experience with a strong focus on AI, Data Analytics, LLMs, and Software Engineering.
- Fluent English skills.
- 5 years of work experience in IT software/data engineering areas.
- Proven experience with modern data cloud platforms (e.g., Snowflake, Databricks, BigQuery, or similar) and major cloud platforms (Azure, AWS, or GCP).
- Strong background in designing scalable data architectures.
- In-depth knowledge of data warehousing, data modelling, and ELT/ETL tools (e.g., dbt, Dagster, Fivetran).
- Proven track record of successful IT project/programme management.
- Hands-on experience designing and implementing LLM-based solutions (e.g., RAG architectures, vector databases, agentic workflows).
Preferred Skills
- German language skills are a plus.
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