Kongsberg Digital (KDI) is a leading provider of next-generation software and digital
solutions for the energy, maritime, and industrial sectors. We enable smarter
operations, digital twins, and sustainable value creation through strong data and
platform foundations. As we scale globally, we are strengthening our architecture team
with a dedicated Data & Platform Architect who will design and evolve the core services
underpinning our platforms.
About The Role
We are looking for an experienced Data & Platform Architect to design, govern, and
continuously evolve the technical foundations that power KDI's platforms. This includes
working across structured, unstructured, document, and time-series data domains,
while ensuring our platform services are secure, scalable, and resilient.
Reporting to: Chief Architect, Kongsberg Digital
Responsibilities
Architectural Leadership
- Define and evolve platform architecture patterns for data ingestion, processing,
storage, and APIs.
- Ensure consistency and scalability across time-series, document, relational,
and unstructured data systems.
- Establish governance and lifecycle standards for platform services and data
pipelines.
- Drive adoption of cloud-native and API-first practices.
Hands-On & Technical Guidance
- Provide technical leadership on platform services: event streaming, messaging,
data pipelines, storage, and APIs.
- Guide teams in best practices for indexing, search, caching, and high
performance data access.
- Collaborate on cross-cutting concerns such as security, observability, and cost
optimization.
- Ensure interoperability across platform modules, applications, and external
integrations.
Collaboration & Mentorship
- Partner with product managers, Application and Infrastructure Architects, and
engineering teams to align platform services with business needs.
- Mentor engineers on data engineering and platform best practices.
- Support cross-product initiatives requiring shared data infrastructure.
Skills & Qualifications
- Proven expertise in data architectures spanning relational (SQL),
NoSQL/document (MongoDB, CouchDB), time-series databases (Timescale,
InfluxDB, etc.), and unstructured data storage.
- Strong understanding of event-driven systems, messaging (Kafka, RabbitMQ,
Service Bus), and distributed data platforms.
- Proficiency with microservices, APIs (REST/GraphQL), and backend design.
- Experience with MEAN stack environments (Node.js, Express, MongoDB,
Angular) is desirable.
- Familiarity with DevOps and observability frameworks.
- Strong knowledge of platform governance, security, and lifecycle management.
- Excellent communication skills to influence across engineering and product
teams.
Experience
- 10+ years in software engineering with a focus on data/platform systems.
- At least 5 years in architecture or platform leadership roles.
- Experience building and scaling enterprise-grade, multi-tenant, or SaaS
platforms.
- Background in time-series, event-driven, or data-heavy industrial systems is a
strong plus.
