Senior 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 As a Senior Solution Architect at Cognite, you will play a pivotal role in the Technology department within our Value Delivery organisation. In this customer-facing position, you will work directly with key customers, field sales, delivery teams, and product development. You will use your seniority and technical competencies to help to lead Norwegian and international industrial customers to increase productivity, profitability, reduce environmental impact and reduce costs. Our customers are large international process and energy industries, with challenges in asset performance and maintenance, production efficiency, and sustainability. Together with the team, you will define solutions and support each integration through to a successful finish. • End-to-end architecture and solution design leadership. • Providing strategic and technical expertise to support customers and the customer-facing project teams. • Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions • Expressing complex technical solutions through architecture modeling tools • Ensure operational responsibility and support agreements for the delivered solutions • Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite’s products and services • Training internal teams and partners in your area of specialization • Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings • Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google • Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings • Develop and maintain technical and business expertise for Cognite’s products The Impact you bring to Cognite • We expect all our solutions architects to be hands-on in python as well as a good hands-on expertise with software development best practices. • Open to travel. • You must be highly organised, thorough, and communicate well with all stakeholders. • Take ownership and drive tasks independently • You will be required to collaborate, lead, and coach, as well as work independently. Required Qualifications • 8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer • Technical background, willing and able to dive in and contribute code for advanced topics when needed Preferred Experience • Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred 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. 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. Show more Show less

8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer. Technical background, willing and able to dive in and contribute code for advanced topics when needed.