As a Data Platform Engineer, you will play a key role in shaping the future of our data infrastructure. You'll contribute to the development and refinement of the data platform blueprint and design, ensuring alignment with project requirements.

This position involves close collaboration with Integration Architects and Data Architects to achieve seamless integration between various systems and data models. Fostering effective communication and supporting the overall architecture strategy are crucial for efficient data management and utilization.

Expected to operate independently and become a subject matter expert. Actively participate and contribute to team discussions and problem-solving sessions. Collaborate with cross-functional teams to align data platform components with business objectives. Assist in troubleshooting and resolving data platform issues to maintain system reliability and performance. Support junior team members by sharing knowledge and best practices. Continuously evaluate and recommend improvements for platform performance and scalability.

A strong command of the Databricks Unified Data Analytics Platform is essential. Demonstrated experience in developing and managing data pipelines within cloud environments. Solid understanding of data integration techniques and data modeling principles. Familiarity with distributed computing frameworks and big data processing technologies. Ability to optimize data workflows for enhanced performance and cost efficiency. Proficiency in scripting and automation to support platform operations.