The Data Platform Engineer will be instrumental in shaping and refining the data platform's blueprint and design, focusing on its core components. This role necessitates close collaboration with Integration Architects and Data Architects to guarantee seamless integration across diverse systems and data models. A proactive stance in aligning platform elements with project needs, fostering effective team communication, and supporting the overarching architectural strategy for robust data solutions is key.

This role involves taking ownership and developing expertise, contributing actively to team discussions, and providing effective solutions to work-related challenges. Collaboration with cross-functional teams is essential to align data platform components with organizational objectives. The engineer will also be responsible for troubleshooting and resolving technical issues concerning data platform integration, and mentoring junior team members by sharing knowledge and best practices.

A strong command of Kinaxis is a primary requirement, along with a solid understanding of data platform architecture and integration principles. Experience in data modeling and system integration is expected. The ability to analyze and optimize data workflows for performance and scalability, familiarity with cloud-based data platforms, and excellent problem-solving skills with keen attention to detail are also crucial. A minimum of 2 years of experience is mandatory, and candidates should possess 15 years of full-time education.