Solution Architect
Cognite - AI for Industry
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What architect roles keep asking for: AWS (30%), Python (18%), Azure (16%), GCP (12%) — counted across their open postings here.
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Cognite - AI for Industry has 49 open roles listed here.
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- Why do you want to join Cognite - AI for Industry?
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Practise the Solution Architect at Cognite - AI for Industry interview free →Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
The Solutions Architect is responsible for the design of complex end to end solutions, merging our flagship products with the customer's portfolio, for both new and existing clients. You are a technical subject matter expert in all offerings across the professional and managed services catalog. From discovery through implementation, you will work closely with the sales team and the delivery teams, as well as our data scientists and customers to map out technical requirements and architect robust and familiar solutions. Through your work with our strategic customers, you will identify opportunities for new products and features, and work with our product managers and tech leads to continuously improve Cognite's SaaS offering.
This role is a mix of consulting, architecture, and product development in a welcoming cross-functional team. Above all else, we strive to foster a supportive team environment where everyone is excited to share ideas, ask for help, and learn from each other.
- As a Solutions Architect, you will be an expert in how we implement our Cognite SaaS offerings and applications.
- Your primary responsibility will be to work with project teams to map requirements for a quality implementation ensuring that:
- The right data visualization technology is used in the right way (E.g Power BI, Grafana, Plotly Dash)
- The right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS)
- The data is efficiently modeled and contextualized in Cognite Data Fusion (E.g graph and relational)
- Integrations are well thought out and robustImportant quality criteria for the solution are met (E.g. CI/CD, logging, security)
- Operational responsibility and support agreements for the delivered solution are clearly defined
- Design overall technical solution and ensure technical fit within the customer ecosystem and target architecture
- Design integration and data model using Cognite data connectors, SQL, Python/Java and Rest APIs
- Credible advisor to our customers and partners on Cognite Data Fusion
- 7+ years experience as an application/data engineer/solution/enterprise architect or Machine learning engineer
- Degree in engineering, computer science, physics, or a related quantitative field, or equivalent demonstrated experience
- Hands-on in python as well as a good hands-on expertise with software development best practices.
- Have experience with enterprise integration, customer relationships or IT integration design
- Data and analytics project experience and able to confidently lead an implementation
- 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, as well as experience architecting centralized monitoring, logging and reporting
- Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
- Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architectures
Preferred Experience
- Experience from the heavy asset industry (Oil & Gas, Manufacturing or Pharmaceuticals) is required
- Experience with operational data and customer business drivers in the heavy asset industry
- Consulting experience that allows you to confidently negotiate requirements with customers and colleague
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
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Listed on greenhouse · posted 2026-09-24. ApplySarthi collects openings and links to application pages; the role is advertised by Cognite - AI for Industry, not by us.