Enterprise Architect

What Cognite is

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 digital transformation to drive operational improvements.

We thrive in challenges, challenge assumptions, and execute with speed and ownership. If you view obstacles as signals to step forward—rather than backward—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 a venture where AI and data meet ingenuity, forging the path to a smarter, more connected industrial future.

Ownership

As an Enterprise Architect at Cognite, you will play a pivotal role in the Expert Services Offerings department within our Value Delivery organization. In this customer‐facing position, you will work directly with key customers, field sales, delivery teams, and product development to help industrial customers increase productivity, profitability, reduce environmental impact, and reduce costs. Our customers are large international process and energy industries, facing challenges in asset performance, maintenance, production efficiency, and sustainability.

Responsibilities

• 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, data ingestion pipelines, and user‐facing solutions
• Expressing complex technical solutions through architecture modeling tools
• Ensuring operational responsibility and support agreements for 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
• Managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, REST APIs, and cloud platform providers such as Azure, AWS, and Google
• Developing and maintaining technical and business expertise for Cognite’s products

Impact you bring to Cognite

• Customer success and long‐term adoption—building relationships with C‐level executives and stakeholders that drive retention and expansion opportunities
• Technical leadership and solution excellence—ensuring robust, scalable, operationally sound solutions that deliver on promised outcomes within support contracts
• Strategic translation and product influence—bridging customer pain points with Cognite’s product roadmap through prioritized pipeline creation
• Technical depth and hands‐on expertise—bringing hands‐on Python proficiency and best‐practice software development to manage complex technical work
• Organizational excellence and ownership—being highly organized, thorough, and accountable for delivering projects with precision and clear communication
• Collaborative leadership and team development—coaching internal teams and partners, elevating organizational capability around Cognite solutions
• Global perspective and adaptability—traveling to work directly with international customers and build relationships across geographies

Required Qualifications

• 10+ years of experience as a software engineer, data engineer, machine learning engineer, or solutions architect, with demonstrated progression into architecture and design leadership roles
• 5+ years in a solutions architect, technical architect, or enterprise architect role, with proven track record designing and delivering end‐to‐end solutions for enterprise customers
• Experience supporting scaling SaaS, B2B software, or technology organizations in high‐growth or enterprise environments, navigating ambiguity and evolving customer requirements
• Strong technical background in backend software engineering and hands‐on proficiency in Python and/or Java; willing and able to contribute code for advanced topics when needed
• Proven experience defining solution architectures for complex enterprise integrations, including data ingestion pipelines, API design, microservices architecture, and cloud‐native solutions
• Demonstrated success working with enterprise customers in industrial domains such as manufacturing, energy, oil & gas, process industries, pharma, or life sciences—understanding their operational challenges, business models, and technical constraints
• Experience with modern cloud platforms (AWS, Azure, Google Cloud), including hands‐on knowledge of cloud infrastructure, container orchestration (Kubernetes/Docker), CI/CD pipelines, and DevOps practices
• Proven ability to build and maintain strong relationships with C‐level executives, IT leaders, and technical stakeholders, acting as a trusted technical advisor throughout the customer lifecycle

Preferred Experience

• Experience from domains such as manufacturing, energy, oil & gas, pharma, or life sciences

Learn More About Us

• Impact 2025
• Cognite’s Industrial AI: moonshot
• Global presence in 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.