AI and Data Architect (44431)
Can you design the whole path from data infrastructure to production AI? An international IT services company in Berlin is looking for an experienced AI and Data Architect to design complex data and AI solutions for its customers. You will define target architectures and roadmaps, design data platforms and infrastructure for AI applications, workflows and agents, choose technologies such as Microsoft Fabric, Microsoft Foundry or Databricks and set up data governance. Proven experience designing and implementing complex data and AI architectures in production, hands-on experience with at least one of these platforms and professional German and English are required.
π Project
- design of complex Data & AI architecture based on customer needs
- defining the target architecture and technology roadmap
- designing data platforms for storing, processing and providing data
- designing infrastructure for AI applications, AI workflows and AI agents
- selecting technologies, e.g. Microsoft Fabric, Microsoft Foundry or Databricks
- integrations between data sources, systems and AI services
- data quality, security, access control and data governance
- scalable AI solutions that run reliably in production
- documenting architecture decisions with ADRs (Architecture Decision Records)
- cooperation with data engineers, AI engineers, DevOps teams and customers
- technical support of presales, solution design and effort estimation
- technical oversight from design to implementation
π― Skills
- proven experience designing and implementing complex data and AI architectures
- modern cloud data platforms
- hands-on experience with at least one of Microsoft Fabric, Microsoft Foundry or Databricks
- data engineering and data architecture β data flows, integrations, storage and processing
- AI architecture β designing architecture of AI applications and services
- production experience β data and AI solutions in real production, not only PoCs or pilots
- data governance β data management, data quality, access control and data lineage
- secure and scalable system design, observability and lifecycle management
- hands-on technical experience, not only a theoretical overview
- customer-facing experience β explaining technical decisions
- German and English at professional working level (C1)
π‘ Nice to have
- independence and a proactive approach
- ownership of architecture decisions
- leading technical discussions and decision-making processes
- connecting business requirements with technology solutions
- interest in innovation in AI
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