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Bertelsmann

Global media, services, and education conglomerate

Senior Data Architect - Data Platforms & BI

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • You have independently taken architecture responsibility for complex, production data platforms in multiple projects, as a Data Architect, Solution Architect, or comparable technical leadership role.
  • You can explain through concrete projects how you developed target architectures, justified technology decisions, and accompanied implementation through production launch.
  • You have practical experience with Microsoft Azure and deep project experience with Microsoft Fabric and/or Databricks, and can assess their suitability for different requirements.
  • You understand core principles of data warehousing, lakehouse architectures, and data modeling, as well as integration of heterogeneous data sources using batch and event-based methods.
  • You account for data quality, governance, security, and data privacy in architecture and understand requirements for identities, permissions, and secure data access.
  • You have practical experience with SQL and Python and can assess data processing and technical implementations; CI/CD, infrastructure as code, and automated testing are familiar from project work.
  • You assess architecture decisions for scalability, availability, cost, complexity, and maintainability, and can explain trade-offs clearly to customers.
  • You have experience guiding implementation teams, conducting technical reviews, and communicating architecture requirements.
  • You advise customers confidently, moderate workshops, and present technical decisions to different stakeholders; you have very good German skills at C2 level.

Responsibilities

  • Develop target architectures and roadmaps by assessing existing data landscapes, translating business and technical requirements into architecture concepts, and planning modernization or migration of existing data platforms.
  • Take responsibility for architecture decisions by designing scalable lakehouse and data warehouse architectures and evaluating alternatives for data integration, data modeling, security, performance, operating effort, and cost.
  • Lead implementation technically by aligning architecture requirements with project teams, supporting technical reviews, ensuring architectural quality through production launch, and validating critical architecture assumptions with prototypes when needed.
  • Advise customers and support presales by facilitating architecture workshops, presenting solution concepts to technical and business stakeholders, and contributing to proposals, effort estimates, and technical decision documents.
  • Embed governance and operational readiness by considering data quality, metadata, lineage, access control, and data privacy from the outset, and developing deployment, monitoring, and operations concepts with teams.
  • Develop standards and reusable solutions by contributing project experience to reference architectures and best practices, and advancing architecture components, templates, and automation in alignment with Microsoft architecture standards and the company technology framework.
  • Use approved AI assistants in project work for prototyping, code development, testing, documentation, and technical reviews; check outputs for accuracy, security, and architectural compliance while observing customer and company privacy and confidentiality requirements.
  • Enable analytics and AI by shaping the data foundation for Power BI solutions, supporting AI specialists with data availability, quality, and security requirements, and advising project teams and enabling customer teams to develop and operate their platforms.

About the Company

Bertelsmann

Global media, services, and education conglomerate

Bertelsmann is a global media, services, and education group made up of eight autonomous divisions, including RTL Group, Penguin Random House, BMG, and Arvato. It operates across B2B and B2C markets, with activities in broadcasting, book publishing, music rights management, and business process outsourcing. Its products range from streaming subscriptions and printed books to logistics, CRM services, and AI-powered content and rights-management tools. The company differentiates itself through a decentralized, entrepreneur-led structure that reinvests profits into content and digital infrastructure via its Boost program, backed by private foundations and the Mohn family. It aims to grow organically and through selective acquisitions while leveraging large-scale data and cross-divisional synergies to deliver personalized content and service experiences at a global scale.

Company size
10,001+
Company stage
Debt Financing
Total funding
$1.4B
Headquarters
Gütersloh, Germany
Founded
1835

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