Cognite operates at the forefront of
industrial digitalization, building AI
and data solutions that solve some of 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.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

What Cognite is Relentless to achieve

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you'll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

How you'll demonstrate
Ownership
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 ecosystem)
• 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
• Technical background, willing and able to dive in and contribute code for advanced topics when needed
• Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architectures

Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.