Data & AI Platform Architect

Job Description

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.

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, 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)

Additional Information

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.

Company Description

Are you ready to build the AI and analytics IT landscape of tomorrow?
The Data & AI Platform Architect is a pivotal role within our 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.

In this role, you’ll act as a trusted technical partner, shaping powerful AI and data engineering services while leading impactful IT projects from strategy through execution. At the same time, you’ll play a key role in strengthening and evolving the IT system architecture of our subsidiaries, ensuring every solution supports business goals and fits seamlessly into the broader IT strategy. If you’re ready to create bold, future-focused AI solutions with real impact, this is your opportunity.