Data & AI Platform Architect

About the role

The Data & AI Platform Architect is a pivotal role within Red Bull's global IT team, designed to design and architect AI and data engineering solutions for team sports (including clubs such as EHC Red Bull Muenchen) and Red Bull's non-beverage businesses. The role acts as a trusted technical partner, shaping AI and data engineering services and leading IT projects from strategy through execution, while strengthening the IT system architecture of subsidiaries.

Key responsibilities

• Lead the architecture, design and implementation of scalable AI and analytics solutions, including AI/ML platforms, analytics stacks and modern engineering practices, working with solution architects, data analysts, data engineers and IT teams
• Develop reusable reference architectures and guidelines, and turn business needs and complex technical concepts into clear solution designs
• Act as Platform and Service Owner for assigned AI and analytics applications, defining governance frameworks and best practices in line with regulatory, data privacy and ethical standards
• Lead and support IT projects and programs, managing budgets, timelines and resources, and oversee sourcing, contracts and vendor relationships
• Provide expert support in troubleshooting AI and data engineering issues, optimizing performance and ensuring compliance with data security and privacy requirements

Required profile

• Higher education in Information Systems, Data Engineering or equivalent work experience focused on AI, data analytics, LLMs and software engineering
• 5 years of work experience in IT software or data engineering
• Fluent English; German is a plus
• Proven track record of successful IT project and program management

Required skills

• Modern data cloud platforms (Snowflake, Databricks, BigQuery or similar) and major cloud platforms (Azure, AWS, GCP)
• Scalable data architecture design
• Data warehousing, data modeling and ELT/ETL tools (dbt, Dagster, Fivetran)
• Hands-on experience designing and implementing LLM-based solutions such as RAG architectures, vector databases and agentic workflows

Minimum salary under the collective agreement is EUR 2,535 gross per month; the actual compensation is market-oriented and higher.