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Red Bull

Manufactures and markets energy drinks

Data & AI Platform Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeElsbethen, Austria€2.5k /moIn-person

About the Job

Requirements

  • Higher education in Information Systems, Data Engineering, or equivalent work experience with a strong focus on AI, data analytics, large language models, and software engineering.
  • Fluent English skills.
  • Five years of work experience in IT software or data engineering areas.
  • Proven experience with modern data cloud platforms such as Snowflake, Databricks, BigQuery, or similar, and major cloud platforms such as Azure, AWS, or GCP.
  • Strong background in designing scalable data architectures.
  • In-depth knowledge of data warehousing, data modeling, and ELT/ETL tools such as dbt, Dagster, and Fivetran.
  • Proven track record of successful IT project or program management.
  • Hands-on experience designing and implementing large-language-model-based solutions, such as retrieval-augmented generation architectures, vector databases, and agentic workflows.

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.
  • Collaborate with solution architects, data analysts, data engineers, and IT teams to develop reusable reference architectures and guidelines, ensure a consistent analytics landscape, and translate business needs and complex technical concepts into actionable solution designs aligned with 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 support compliant, responsible, and effective platform use in line with regulatory, data privacy, and ethical standards.
  • Lead and support IT projects and programs 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, optimizing application performance, and ensuring compliance with data security and privacy requirements.
  • Stay up to date with current and emerging AI, analytics, and engineering trends and help drive best practices and continuous improvement.

Desired Qualifications

  • German language skills.

About the Company

Red Bull

Manufactures and markets energy drinks

Red Bull makes and markets energy drinks. It focuses on a signature global beverage and uses a distinct marketing strategy to build the brand. How it works: the drink combines ingredients such as caffeine and sugars (originally based on Krating Daeng) and is carbonated for Western palates, distributed worldwide through large-scale marketing, sponsorships, and events to boost sales. How it differs: it remains privately held by the founding families, avoiding public funding, and relies on a marketing-heavy approach—extreme-sports sponsorships, high-profile events, and a strong brand identity—rather than conventional product features alone. What it aims to do: maintain leadership in the energy-drink category, grow globally through branding and partnerships, and continue expanding its product line and presence without going public.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Salzburg, Austria
Founded
1984

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