Senior Data & Platform Architect for AI-Driven Systems

IKT-konsulent

Bærum

On-site

NOK 1,500,000 - 1,900,000

Full time

8 days ago

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Job summary

Falkor, a KONGSBERG company, is seeking a senior Data & Platform Architect to define and evolve the architecture for shared data, knowledge and platform services. You will shape patterns for ingestion, processing, storage, eventing, APIs, metadata and knowledge graphs across complex industrial data ecosystems.

The role combines strategic direction with hands-on guidance, collaborating with product and engineering teams to deliver scalable, secure and AI-ready platforms.

Qualifications

  • Significant experience in software engineering, data platforms or distributed systems with senior leadership responsibilities.

Responsibilities

  • Define and evolve target architecture for shared data, knowledge and platform services.
  • Establish reusable patterns for data ingestion, processing, storage, event streaming, APIs, integration and workflow orchestration.
  • Guide decisions across relational, document, time-series, graph, vector and unstructured data systems.
  • Drive cloud-native, event-driven and API-first practices balancing scalability, resilience and cost.
  • Govern ontologies, metadata and knowledge graphs to enable AI-ready knowledge services.
  • Promote governance, security, observability and cost optimisation across platform modules.

Skills

Distributed systems
Event-driven
API-based architectures
Data platforms
Knowledge graphs
Architecture leadership
Cloud-native
Communication

Tools

TypeScript/Node.js
Graph databases
REST/GraphQL APIs

Job description

Falkor, a KONGSBERG company, is seeking a senior Data & Platform Architect to define and evolve the architecture for shared data, knowledge and platform services. You will shape patterns for ingestion, processing, storage, eventing, APIs, metadata and knowledge graphs across complex industrial data ecosystems.

The role combines strategic direction with hands-on guidance, collaborating with product and engineering teams to deliver scalable, secure and AI-ready platforms.

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