AI and Data Architect (44431)

CoolPeople Technology; Berlin; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

CoolPeople Technology is seeking an experienced AI and Data Architect in Berlin to design complex data and AI solutions for international customers. You will define target architectures and roadmaps, design data platforms for AI applications, and select technologies such as Microsoft Fabric, Microsoft Foundry or Databricks.

Data governance and secure, scalable production-ready systems are essential. You will collaborate with data engineers, AI engineers, DevOps and customers, and contribute to

Qualifikationen

• Proven experience designing and implementing complex data and AI architectures in production.

Aufgaben

• Design complex Data & AI architectures based on customer needs.
• Define target architecture and technology roadmap.
• Design data platforms for storing, processing and providing data.
• Design infrastructure for AI applications, AI workflows and AI agents.
• Select technologies like Microsoft Fabric, Microsoft Foundry or Databricks.
• Integrate data sources, systems and AI services.
• Ensure data quality, security, access control and data governance.
• Deliver scalable AI solutions that run reliably in production.
• Document architecture decisions with ADRs.
• Collaborate with data engineers, AI engineers, DevOps and customers.
• Support presales, solution design and effort estimation.
• Provide technical oversight from design to implementation.

Kenntnisse

Architecture design

Cloud data platforms

Hands-on with data/AI platforms

Data flows & integrations

AI application design

Production experience

Data governance

Secure system design

Observability

Stakeholder communication

Tools

Microsoft Fabric

Microsoft Foundry

Databricks

Jobbeschreibung

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.

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

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 – data flows, integrations, storage and processing
• AI architecture – designing architecture of AI applications and services
• production experience – data and AI solutions in real production, not only PoCs or pilots
• data governance – 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 – explaining technical decisions
• German and English at professional working level (C1)

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