Join our team as a Data Platform Engineer, where you'll play a key role in shaping the data platform's blueprint and design. This position involves close collaboration with Integration and Data Architects to ensure seamless integration between systems and data models. You will contribute to aligning platform components with project requirements, fostering effective team communication, and supporting the overall architecture strategy for efficient data management and utilization.

- Take ownership of tasks and develop expertise in the data platform. - Actively participate and contribute to team discussions and problem-solving. - Collaborate with cross-functional teams to align the data platform with business objectives. - Identify opportunities for improvement and optimization within the data platform architecture. - Mentor junior team members by sharing knowledge and guiding platform-related tasks.

- Minimum 3 years of experience is required, with a focus on the Databricks Unified Data Analytics Platform. - Proficiency in PySpark is essential. - Experience with data integration and transformation in large-scale environments is expected. - A strong understanding of cloud-based data platforms and their operational frameworks is necessary. - Familiarity with data modeling concepts and scripting/automation for data workflows is required. - A minimum of 15 years of full-time education is a prerequisite for this role.