Senior Data Software Engineering Manager

We are seeking a Senior Data Software Engineering Manager to shape data and integration architecture for industrial and energy clients, improving asset performance, efficiency, and sustainability. You will guide cross-functional delivery, set technical direction, and ensure reliable operations. Responsibilities Lead end-to-end solution architecture and integration design tailored to client needs Define enterprise architecture frameworks, integration strategies, and data models Provide strategic technical guidance to client-facing teams and project stakeholders Translate complex technical requirements into clear architecture models and actionable delivery plans Coordinate with sales, engineering, and product management to align scope, value, and feasibility Manage operational support and ensure service agreements for deployed solutions Facilitate knowledge transfer by training internal teams and external partners Collaborate with a small delivery team and third-party vendors to ensure successful execution Develop expertise in Cognite products and industry best practices to drive solution innovation Requirements 7+ years of experience in data/software engineering and solution architecture for industrial or energy domains 3+ years of leadership experience guiding cross-functional technical teams and stakeholder alignment Strong project delivery skills across end-to-end architecture, integration design, and operational support Advanced data modeling and data pipeline skills using Python and SQL Hands-on experience with Cognite products and industrial data integration patterns Strong stakeholder management skills with C-level executives and business data managers Upper-Intermediate English (B2) proficiency Nice to have Google Cloud Platform experience in data services and deployment Microsoft Azure experience in data services and integration Cloud architecture certification on Google Cloud Platform or Microsoft Azure