Solution Architect

What Cognite is: Relentless to achieve

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

• 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