Solution Architect
Cognite is hiring a Solution Architect. Level rates it ; you can apply on Cognite.
Level's read on this job
- Little AI ●○○○ is how Level rates this solutions architect role: aI is not part of the work.
- Tools and skills the posting cites include Databricks and AI agents.
- Level classifies it as a senior role.
- Level lists 53 other open roles at Cognite.
AI in this role
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.
How you’ll demonstrate Ownership
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.
The Impact you bring to Cognite- 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
* Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝 * A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more * Flat structure with direct access to decision-makers * Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology * Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners. * Get access to private health services with Cognite Care. * Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) * Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. * We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site. * A pet lover? Get the chance to meet Spot at the Robot Garden! Learn more about us- 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.
How we rate this
Solution Architect at Cognite rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $169k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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