Data & Platform Architect (Knowledge Graph / Ontology)

Responsibilities

• Set reusable patterns for data ingestion, processing, storage, event streaming, APIs, integration and workflow orchestration
• Guide architecture decisions across relational, document, time-series, graph, vector and unstructured data stores
• Define and govern enterprise ontologies, semantic models and knowledge-graph architectures
• Set standards for taxonomy, metadata, lineage and semantic interoperability
• Design search, semantic discovery and retrieval architectures for AI services
• Build security, access control, observability, reliability and cost control into the platform
• Write pragmatic decision records and reference architectures that teams can adopt easily
• Guide and mentor engineers and architects; work closely with product managers, application and infrastructure architects and engineering teams

Requirements

Beneficial:

Soft-skills:

Interested?

Send your CV, hourly rate and start date to [contact removed].

• Senior architecture or platform leadership experience in software engineering, data platforms or distributed systems
• Has designed and evolved enterprise-grade, multi-tenant or SaaS platform architectures
• Strong in distributed, event-driven and API-based systems: data pipelines, messaging, storage and integration patterns
• Enterprise data architecture, plus at least one of: knowledge graphs and ontologies, enterprise search, semantic platforms or workflow orchestration
• Strong on governance, security, lifecycle management, observability, scalability and access control
• Explains complex architecture choices clearly and influences decisions across product and engineering
• Hands-on ontology, taxonomy, semantic modelling, metadata management or knowledge-graph implementation
• Keyword, semantic, hybrid or vector-based search and retrieval architectures
• RAG, vector databases, AI agents or knowledge-retrieval architectures
• Workflow and orchestration platforms, event streaming and graph databases
• Digital twins, industrial information models, operational technology (OT) data or industrial AI platforms
• TypeScript / Node.js environments
• Senior individual contributor who combines strategic direction with practical, hands-on technical guidance
• Curious and passionate about AI; follows the field closely and likes testing new things, also in their own time
• Embraces AI-assisted ways of working rather than worrying about being replaced by them

Project details

To be confirmed

6 months, with possibility to extend

Allocation: 100%

Oslo area (Fornebu), hybrid

Language: English

Backround

A client building industrial software for heavy-asset industries (energy, chemicals, utilities) is looking for a senior Data & Platform Architect. The role owns the target architecture for the client's shared data, knowledge and platform services, so that products, integrations and AI features are built on secure, scalable and well-governed foundations. This is a new role and one of the client's most pressing needs right now.

Purpose of the role:

• Define the target architecture and transition roadmap for shared data, knowledge and platform services
• Build the ontology and knowledge-graph foundation that connects industrial assets, systems, documents, workflows and operational data
• Make the platform AI-ready: enterprise search, semantic discovery and contextual retrieval for AI-assisted and decision-support features
• Start: 2026-12-01
• Location: Norway, NO