Business Data Architect for Marketing Media data

Are you passionate about data in the field of media activities?

Then this is your chance to become part of our team. We're looking for a talented and experienced business data architect with a passion for engineering, who wants to be part of this journey to shape the media data landscape, helping Business teams to uncover new opportunities and to build data products that deliver tangible business value.

We, as Media Technology & IT department, are responsible for all media technology within the RedBull Media House. We operate over a hundred different applications and tools: from our self-developed media platform to one of the most technically advanced TV studios in Europe. Data and Data driven decisions are an essential part of this setup.

Areas that play to your strengths

All the responsibilities we'll trust you with:

• Understand business demands to build the right data products enabling business units to make informed decisions in the field of marketing media.
• Lead data architecture and engineering, ensuring alignment with business requirements and industry best practices.
• Establish and continuously improve data integrations and workflows, particularly in the marketing media setup.
• To remain successful as an organization we need to continue our journey growing as data driven organization. In your role you will work with other teams to shape the technical landscape and integrate data systems effectively.
• Becoming a strong & communicative member of our department to drive our data journey by building (big) data setups and architectures as well as inspire other team members to think and evolve into this direction.

Your areas of knowledge and expertise

that matter most for this role:

• At least 3 years of practical experience in the field of data, data architecture, data modelling and data driven decisions
• Strong experience with (big) data technologies and best practices managing large datasets
• Fluent in English, German is a plus
• Very good communication and organization skills
• Data or media technology focused education or equivalent work experience
• Proficiency with data modelling and engineering, Big Data, ETL/ELT, SQL, DDD
• Persistent, systemic and analytical thinking with an attention to detail
• Experience in media data setups (recommended)

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