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Metro location and generalist solution title increase competition but senior 12+ requirement reduces applicant pool.
Specialized data-platform architecture work is transferable technically, but industrial domain experience is preferred.
Explicit 12+ years requirement plus mandatory hands-on stack (Python, SQL, cloud) makes screening strict.
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Lead end-to-end architecture and solution design for large international industrial customers, focusing on productivity, profitability, and sustainability improvements.
Provide strategic and technical expertise supporting customer engagements, project teams, and drive long-term adoption of Cognite’s products and services.
Collaborate with sales, engineering, and product management to translate customer needs into product offerings, while managing integrations including data modeling and pipelines using tools like Python, SQL, REST APIs, and cloud platforms (Azure, AWS, Google).
12+ years of experience as Software Engineer, Data Engineer, or Machine Learning Engineer.
Hands-on expertise in Python and software development best practices.
Ability to manage integrations, data modeling, and API usage with cloud platforms such as Azure, AWS, or Google Cloud.
Open to travel as required.
Experience working with customers in industrial domains such as Manufacturing, Energy, Oil & Gas, Pharma, or Life Sciences preferred.
Senior-level technology leadership with ability to independently lead solution architecture and collaborate cross-functionally.
Strong communication skills to engage with C-level executives, IT, and business stakeholders, and capability to train internal teams and partners.