Requirements
- Extensive experience (5+ years) in solution architecture, field engineering, or technical presales/postsales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
- Hands-on in Python, as well as good hands-on expertise with software development best practices.
- Strong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.
- Expertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.
- Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance — particularly in cloud and hybrid environments.
Nice to Have
- Education or practical experience relevant to our key industry focus areas. (E.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering, etc.)
- Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.
- Demonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.
- Experience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.
- Strong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.
