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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-timeMunich, GermanyNo salary listed

About the Job

Requirements

  • You have independently owned architectural responsibility for complex, production data platforms across multiple projects, as a Data Architect, Solution Architect, or in a comparable technical leadership role.
  • You can explain through concrete projects how you developed target architectures, justified technology decisions, and guided implementation through production launch.
  • You have solid practical experience with Microsoft Azure and in-depth project experience with Microsoft Fabric and/or Databricks, and can assess their suitability for different requirements.
  • You understand the principles of data warehousing, lakehouse architectures, data modeling, and integrating heterogeneous data sources through batch and event-based methods.
  • You incorporate data quality, governance, security, and data protection into 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; you are familiar with CI/CD, infrastructure as code, and automated testing from project work.
  • You assess architecture decisions for scalability, availability, cost, complexity, and maintainability, and can explain tradeoffs clearly to customers.
  • You have experience providing technical guidance to implementation teams, reviewing solutions, and communicating architecture requirements.
  • You can advise customers, facilitate workshops, and represent technical decisions to different stakeholders; you have very good German language 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.
  • Own architecture decisions by designing scalable lakehouse and data warehouse architectures and evaluating alternatives for data integration, data modeling, security, performance, operational 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 assumptions with prototypes as 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 operability by considering data quality, metadata, lineage, access control, and data protection 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 further developing architecture components, templates, and automations in alignment with Microsoft architecture standards and the company's technology framework.
  • Use approved AI assistants in project work for prototypes, code development, tests, documentation, and technical reviews; check results for technical correctness, security, and architectural compliance and follow customer and company data protection and confidentiality requirements.
  • Enable analytics and AI by shaping the data foundation for Power BI solutions and supporting AI specialists on data provisioning, quality, and security requirements.
  • Provide technical guidance to project teams and enable customer teams to further 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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