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Bertelsmann

Global media, services, and education conglomerate

Senior Data Architect - Data Platforms & BI, m/w/d

Data EngineeringUpdated on Nov 11
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 substantial 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, data modeling, and integrating heterogeneous data sources through batch and event-based methods.
  • You account for data quality, governance, security, and data protection in architecture and understand identity, permissions, and secure data access requirements.
  • You have practical experience with SQL and Python and can evaluate data processing and technical implementations. You are familiar with CI/CD, infrastructure as code, and automated tests from project work.
  • You can evaluate architecture decisions for scalability, availability, cost, complexity, and maintainability, and explain tradeoffs clearly to customers.
  • You have experience providing functional guidance to implementation teams, technically reviewing solutions, and communicating architecture requirements.
  • You can advise customers, moderate 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 functional 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 guidance 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 functional stakeholders, and contributing to proposals, effort estimates, and technical decision documents.
  • Embed governance and operational readiness by addressing 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 advancing architecture components, templates, and automation in line with Microsoft architecture standards and the company technology framework.
  • Use approved AI assistants for prototypes, code development, tests, documentation, and technical reviews; validate outputs for functional correctness, security, and architectural compliance, and follow customer and company privacy and confidentiality requirements.
  • Enable analytics and AI by shaping data foundations for Power BI solutions and supporting AI specialists with data availability, quality, and security requirements.
  • Guide project teams functionally and enable 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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