We are seeking a Data Platform Engineer to contribute to the blueprint and design of our data platform. This role involves close collaboration with Integration Architects and Data Architects to ensure seamless integration between systems and data models. The position is key to maintaining the cohesive functioning of our data architecture.

The Data Platform Engineer will support the development and refinement of the data platform, ensuring components align with the overall blueprint. This role requires proactive coordination to enhance platform functionality and reliability, underpinning data-driven decision-making.

Perform independently and develop expertise in the data platform domain. Actively participate and contribute to team discussions and problem-solving. Collaborate with cross-functional teams to align data platform components with business needs. Assist in troubleshooting and resolving data platform integration and performance issues. Document processes and best practices to foster knowledge sharing. Support and guide junior team members, sharing expertise.

A minimum of 2 years of experience is required, specifically with Kinaxis.

Key technical proficiencies include Kinaxis. Experience with data integration and system interoperability concepts is essential. Familiarity with data modeling and architecture principles is expected. Ability to work effectively with various data platform components and tools. Strong problem-solving and analytical thinking skills are necessary. Effective communication skills are required for collaboration with diverse teams.