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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 held 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 strong 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 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 identity, permissions, and secure data access requirements.
  • 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 tests 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 giving technical guidance to implementation teams, conducting technical reviews, and conveying architecture requirements.
  • You can advise customers, facilitate workshops, and present technical decisions to different stakeholders, and have very good German skills at C2 level.

Responsibilities

  • Develop target architectures and roadmaps by assessing existing data environments, translating business and technical requirements into architecture concepts, and planning modernization or migration of existing data platforms.
  • Design scalable lakehouse and data warehouse architectures and assess solution alternatives for data integration, data modeling, security, performance, operating effort, and cost.
  • Align architecture requirements with project teams, support technical reviews, ensure architectural quality through production launch, and validate critical architecture assumptions with prototypes when needed.
  • Advise customers, facilitate architecture workshops, present solution concepts to technical and business stakeholders, and contribute to proposals, effort estimates, and technical decision documents.
  • Embed data quality, metadata, lineage, access control, and data protection in architecture; develop deployment, monitoring, and operations concepts with teams.
  • Contribute project experience to reference architectures and best practices, and develop reusable architecture components, templates, and automations in line with Microsoft architecture standards and the company's technology framework.
  • Use approved AI assistants for prototyping, code development, testing, documentation, and technical reviews; check results for functional accuracy, security, and architectural compliance, and follow customer and company data protection and confidentiality requirements.
  • Design the data foundation for Power BI solutions and support AI specialists with 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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