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Cognite

Industrial data platform with AI

Senior Solution Architect

Implementation & Technical Account ManagementPosted on Nov 10
Full-timeOslo, NorwayNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience as an application engineer, data engineer, solution architect, enterprise architect, or machine learning engineer.
  • A degree in engineering, computer science, physics, or a related quantitative field, or equivalent demonstrated experience.
  • Hands-on Python experience and strong familiarity with software development best practices.
  • A DevOps mindset and experience with Git, continuous integration/continuous delivery, and deployment environments.
  • Experience with enterprise integration, customer relationships, or IT integration design.
  • Experience with operational data and customer business drivers in the heavy asset industry.
  • Experience with a public cloud, preferably AWS, GCP, or Azure, including familiarity with network security concepts, identity providers, and application hosting.
  • Experience with operations, including support and change control, and experience architecting centralized monitoring, logging, and reporting.
  • Architectural skills in data modeling and infrastructure solutions, such as classical data warehousing and big data architectures.

Responsibilities

  • Design complex end-to-end solutions that combine Cognite products with customers' portfolios for new and existing clients.
  • Serve as a technical subject matter expert across the professional and managed services catalog.
  • Work with sales and delivery teams, data scientists, and customers from discovery through implementation to map technical requirements and architect robust solutions.
  • Identify opportunities for new products and features through work with strategic customers, and collaborate with product managers and technical leads to improve Cognite's SaaS offering.
  • Work with project teams to map requirements and ensure quality implementation, including selecting appropriate data visualization and transformation technologies, modeling and contextualizing data in Cognite Data Fusion, designing robust integrations, defining operational responsibilities and support agreements, and meeting criteria for continuous integration/continuous delivery, logging, and security.
  • Design the overall technical solution and ensure its fit within the customer ecosystem and target architecture.
  • Design integrations and data models using Cognite data connectors, SQL, Python or Java, and REST APIs.
  • Advise customers and partners on Cognite Data Fusion.

Desired Qualifications

  • Experience in the heavy asset industry, such as oil and gas, energy, manufacturing, or pharma.
  • Consulting experience that supports confidently negotiating requirements with customers and colleagues.

About the Company

Cognite

Industrial data platform with AI

Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion connects OT, IT, and engineering data, unifying sensor data, maintenance logs, and 3D models into a real-time view of assets to improve performance and safety. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without deep coding. The company differentiates itself through deep cross-domain data integration for asset-heavy industries and a scalable cloud environment to accelerate industrial digitalization and deliver measurable value.

Company size
501-1,000
Company stage
Acquired
Total funding
$225.3M
Headquarters
Tempe, AZ
Founded
2016

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