Senior Solution Architect

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve the world’s hardest, highest-impact problems. 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 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.

Responsibilities

End-to-end architecture and solution design leadership; Providing strategic and technical expertise to support customers and 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; Ensuring operational responsibility and support agreements for delivered solutions; Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers; 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 managing integration, data modeling, and related activities using Cognite data connectors, SQL, Python/Java, Rest APIs, and cloud platforms like Azure, AWS & Google; Collaborating with Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings; Developing and maintaining technical and business expertise for Cognite's products

Requirements

8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer; Hands-on in Python; Hands-on expertise with software development best practices; Open to travel; Highly organised, thorough, and communicate well with all stakeholders; Take ownership and drive tasks independently; Collaborate, lead, and coach, as well as work independently; Technical background, willing and able to dive in and contribute code for advanced topics when needed

Nice to have

Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred