Data & Platform Architect - SQL/CouchDB

About The Role :

We are looking for an experienced Data & Platform Architect to design, govern, and continuously evolve the technical foundations that power KDIs 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.

- Excellent communication skills to influence across engineering and product.

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 SaaSn platforms.

- Background in time-series, event-driven, or data-heavy industrial systems is a strong plus.