Jobs and Careers

Senior Solution Architect

United Statesfull_timeVerifiedPosted 3 Jun 2026

About the role

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

At Cognite, the Global Value Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite’s product suite. We consist of people with diverse and high-performance backgrounds, ranging from Management Consulting, to Industry and Software development. We seek to continuously improve how we work with our clients, how we work together as a team, and how we develop as individuals.

The Senior 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 Senior 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

The Impact you bring to Cognite

7+ years experience as an application/data/solution/enterprise architect
2+ years of 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
Bachelor's degree is required; Masters degree a plus
Consulting experience that allows you to confidently negotiate requirements with customers and colleagues
Have experience with enterprise integration, customer relationships or IT integration design
Data and analytics project experience and able to confidently lead an implementation
Broad technical experience with data and analytics stacks
Familiarity with Business Intelligence tools and enterprise analytics stacks (Power BI or similar)
Familiarity with SQL and big data tooling (E.g Apache Spark ec