Data & AI Platform Architect
Summary
Designs and owns scalable AI and analytics platforms, including LLM solutions and data architectures, while leading projects and vendor management for Red Bull’s data ecosystem.
SYSTEM DESIGN & ARCHITECTURE MANAGEMENT
As Data & AI Platform Architect, you’ll lead the architecture, design, and implementation of scalable, high-performing 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’ll develop reusable reference architectures and guidelines, ensure a consistent and coherent analytics landscape, and translate business needs and complex technical concepts into clear, actionable solution designs aligned with key stakeholders.
PLATFORM/SERVICE OWNERSHIP
You’ll act as Platform and Service Owner for assigned AI and analytics applications, shaping their strategic direction and overseeing their operational management. You’ll also define governance frameworks and best practices to ensure compliant, responsible, and effective platform use in line with regulatory, data privacy, and ethical standards.
IT PROJECT & VENDOR MANAGEMENT
You’ll lead and support IT projects and programs in line with established project management methodologies, ensuring efficient delivery through careful management of budgets, timelines, and resources. In addition, you’ll oversee sourcing and contract processes, support negotiations, and manage vendor relationships.
IT CONSULTING
In this role, you’ll provide expert support in troubleshooting AI and data engineering issues, optimizing application performance, and ensuring compliance with data security and privacy requirements. By staying up to date with current and emerging AI, analytics, and engineering trends, you’ll also help drive best practices and continuous improvement.
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, German is a plus
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 modeling, and ELT/ETL tools (e.g., dbt, Dagster, Fivetran)
Proven track record of successful IT project/program management
Hands-on experience designing and implementing LLM-based solutions (e.g. RAG architectures, vector databases, agentic workflows)
Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,535 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.
As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.