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Build scalable backend services, microservices, APIs, and distributed data pipelines for Cognite’s industrial data platform. Responsibilities include working with large datasets, optimizing data processing and storage, contributing to system architecture, troubleshooting production issues, writing tested code, and collaborating cross-functionally. The role requires backend engineering experience and programming skills in Java, Scala, or Python, with preferred experience in Spark, Kafka, Flink, cloud platforms, Kubernetes, CI/CD, and observability.

Lead end-to-end solution architecture and data engineering for industrial customers. Design enterprise architectures, integrations, data models, ingestion pipelines, and user-facing solutions. Work hands-on with Python, Java, SQL, REST APIs, Cognite connectors, extractors, and cloud platforms. Partner with customers, sales, engineering, and product teams; support implementations, operational agreements, adoption, and technical training. The role requires customer engagement, stakeholder leadership, independent ownership, coaching, and occasional travel.

Leads technical presales engagements for Cognite’s industrial AI and data solutions in the oil and gas sector. Designs solution architectures, prototypes AI-driven applications, develops integrations, conducts client workshops and demonstrations, supports sales opportunities, translates customer feedback into product requirements, and mentors field engineers. Requires expertise in industrial data, OT/IT convergence, cloud platforms, APIs, data integration, and enterprise client engagement.

Develop and deploy machine learning, physical, and generative AI solutions for industrial customers. Responsibilities include leading discovery workshops, cleansing and analyzing complex data, building Python models, developing web applications on Cognite Data Fusion, and collaborating with data engineers, solution architects, and project managers to deliver scalable digital transformation solutions.

Lead end-to-end delivery of complex Industrial AI and digital transformation projects, from kickoff through deployment, adoption, and value realization. Own scope, schedules, budgets, quality, financial performance, risks, governance, and customer outcomes. Collaborate with technical and customer teams, lead stakeholder communications and steering committees, support change management and training, and identify expansion opportunities. Apply PMO methodologies and continuously improve delivery practices.

Lead end-to-end delivery of complex Industrial AI and digital transformation projects, from kickoff through deployment, adoption, and value realization. Own scope, schedules, budgets, quality, financial performance, risks, governance, and customer outcomes. Partner with technical teams and executive stakeholders, manage steering committees, facilitate value realization workshops, support change management and training, and identify expansion opportunities. Apply PMO methodologies and continuous improvement practices across enterprise software and industrial technology implementations.

Lead scalable data engineering solutions using Cognite Data Fusion, including integrations, data extraction, modeling, cleansing, pipelines, and analysis. Collaborate with data scientists, architects, project managers, engineering, and product teams to deliver customer solutions. Conduct code reviews, support customers, contribute to Cognite tools and SDKs, and use cloud, Kubernetes, DevOps, SQL, Python, Java, and REST APIs.

Develop technical training, courses, labs, demonstrations, and instructor-led programs for Cognite’s industrial AI and data products. Serve as a technical subject matter expert, collaborate with Product, Engineering, Professional Services, and Customer Success, and translate complex data engineering and data science concepts into practical learning experiences. Create digital content using authoring and AI tools, deliver training to technical audiences, analyze learner feedback, and improve Academy curricula. Travel internationally or regionally up to 25% of the time.

Lead end-to-end Industrial AI implementation projects from kickoff through deployment, adoption, and value realization. Own scope, schedules, budgets, quality, financial performance, risks, governance, and customer outcomes. Collaborate with technical and customer teams, manage executive stakeholders, facilitate value realization workshops, support change management and training, and improve delivery practices using PMO methodologies.

Develop and deploy scalable data science and machine learning solutions for industrial customers in oil and gas, manufacturing, and power utilities. Responsibilities include facilitating use-case workshops, cleansing and modeling data, building Python-based physical and machine learning models, deploying agentic AI solutions, collaborating with cross-functional delivery teams, and supporting customers using Cognite products.