Join our team as a Data Platform Engineer, where you will play a key role in shaping the future of our data landscape. This position involves contributing to the architectural blueprint and design of our data platform, ensuring robust and efficient data solutions. You will collaborate closely with Integration and Data Architects, fostering seamless integration across diverse systems and data models. The role emphasizes a proactive approach to aligning platform components with project objectives, promoting effective communication, and supporting strategic architectural initiatives for a cohesive and high-performing data environment.

- Lead independent work streams and develop expertise in data platform technologies. - Actively participate and contribute valuable insights during team discussions. - Provide effective solutions to technical challenges encountered during projects. - Partner with cross-functional teams to ensure data platform components align with business requirements. - Support the resolution of technical issues and facilitate smooth data platform integration. - Mentor junior team members, sharing knowledge and best practices for platform development. - Continuously assess and propose enhancements to improve platform performance and scalability.

- Demonstrated proficiency with the Databricks Unified Data Analytics Platform is essential. - Experience in developing and managing data pipelines within cloud environments is required. - A strong understanding of data integration techniques and industry best practices is crucial. - Familiarity with distributed computing frameworks and large-scale data processing is expected. - The ability to optimize data workflows for both performance and reliability is key. - Knowledge of data security and governance principles as they relate to platform design is necessary. - A minimum of 3 years of experience specifically with the Databricks Unified Data Analytics Platform is mandatory.