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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, common Solutions Architect title, and moderate employer brand produce medium competition.
Core data engineering skills are transferable but industrial domain preference increases specificity to medium.
Explicit 9+ years requirement plus mandatory data engineering, Python/SQL and cloud skills makes filters high.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end architecture and solution design for industrial digitalization projects with large international process and energy customers.
Provide strategic and technical expertise to support customers and project teams, including defining enterprise architecture, integration, data models, and user-facing solutions.
Manage operational responsibility and support agreements for delivered solutions while building relationships with key stakeholders and training internal teams.
Minimum Requirements
9+ years of experience working as a Data Engineer.
Hands-on expertise in Python and software development best practices.
Ability to independently manage integration, data modeling, and related activities using Cognite data connectors, SQL, Python/Java, REST APIs, and cloud platforms like Azure, AWS, or Google.
Open to travel.
Ideal Candidate Profile
Experienced in Data Engineering within domains such as Manufacturing, Energy, Oil & Gas, Pharma, or Life Sciences.
Capable of translating complex customer needs into prioritized product offerings and collaborating cross-functionally with Sales, Engineering, and Product Management.
Strong organizational skills with ability to independently drive tasks and provide leadership and coaching.