Join our team as a Data Platform Engineer, where you will play a key role in shaping the data platform's future. This position involves contributing to the blueprint and design of the data platform, ensuring all components align with project needs. You'll collaborate closely with Integration and Data Architects to guarantee seamless integration across systems and data models. The role emphasizes a proactive approach to architectural strategy and fostering strong communication within the team to deliver robust data solutions.

As a Data Platform Engineer, you are expected to work independently and become a subject matter expert. Active participation and contribution in team discussions are essential. You will be responsible for providing solutions to work-related challenges, collaborating with cross-functional teams to align the data platform with business objectives, and identifying potential integration risks with proposed mitigation strategies. Additionally, you'll support junior team members through knowledge sharing and guidance on best practices.

This role requires a minimum of 3 years of experience, with a focus on Databricks Unified Data Analytics Platform. You should possess strong skills in data pipeline development and management within cloud environments, coupled with a solid understanding of data integration techniques and data modeling. Familiarity with distributed computing frameworks and big data processing is beneficial. The ability to troubleshoot and optimize data workflows for performance and scalability is crucial. A 15-year full-time education is a prerequisite for this position.