Data Architect

Are you passionate about Big Data, data architectures and data mesh and want to shape our large media analytics data setups - starting with data from our own websites via social media data to third party data? You love to communicate and enable others to go beyond the ordinary? Then this role is for you.

Then this is your chance to become part of our team. We're looking for a talented and experienced data architect, who wants to bring our data driven setups to the next level and act as an ambassador throughout our organization.

We, as Media Technology & IT department, are responsible for all media technology within the Red Bull 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.

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

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• DATA & ARCHITECTURE

With your passion for (big) data and data architectures you'll collaborate closely with team members turning business needs into a proper and sustainable setup fulfilling our growing analytics demands in media business.

• ENABLEMENT & GOVERNANCE

In this exciting role you'll also support others by establishing best practices, patterns, tools, and guidelines to be able to create a (big) data architecture/mesh setup across our organization.

• TEAM & COLLABORATION

Last but not least, you'll be a strong & communicative member of our department to drive our data journey by building (big) data setups and architectures as well as inspiring other team members to think and evolve into this direction.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

• Design or media technology focused education or equivalent work experience
• Fluent in English, German is a plus
• Passionate about data, data modelling and data driven decisions
• Strong experience with Big data technologies and approaches managing large datasets
• Good communication and organization skills
• Proficiency with data modelling and engineering, Big Data, ETL/ELT, SQL, DDD
• Persistent, systemic and analytical thinking with an attention to detail
• Familiar with Google Analytics as well as Data compliance and governance (GDPR)
• Knowledge about visualization tools (PowerBI, Looker, Tableau, …) for data representation
• Travel 0-10%