Join our team as a Data Platform Engineer, contributing to the intricate design and blueprint of our data platform. You will collaborate closely with Integration Architects and Data Architects, ensuring a harmonious integration between diverse systems and data models. This role focuses on aligning platform components with project goals and fostering effective communication to uphold an efficient data environment.

As a Data Platform Engineer, you will be expected to perform independently and become a subject matter expert. Active participation in team discussions and contributing to problem-solving are key. You will collaborate with cross-functional teams to align the data platform with business needs, assist in troubleshooting and resolving platform issues, and document design decisions. Guidance and best practices sharing with junior team members will also be part of your role.

A strong proficiency in the Databricks Unified Data Analytics Platform is essential. Experience in developing and managing data pipelines within cloud environments is required. A solid understanding of data integration techniques and best practices, coupled with familiarity in distributed computing frameworks and scalable data processing, is crucial. The ability to optimize data workflows for performance and cost efficiency is also a valuable asset. A minimum of 3 years of experience with the Databricks Unified Data Analytics Platform is mandatory, and candidates should have completed 15 years of full-time education.