Join our team as a Data Platform Engineer, a pivotal role in shaping and evolving our data platform. You will be instrumental in developing the data platform blueprint and design, meticulously integrating relevant components. Collaboration with Integration Architects and Data Architects is key to ensuring seamless connectivity between systems and data models, fostering a cohesive data ecosystem.

This position offers an exciting opportunity to contribute to advanced data strategies. You will work on defining how our data infrastructure operates, ensuring it meets current and future business demands. The role thrives on clear communication and a forward-thinking approach to data management and its effective utilization.

- Contribute to the development and refinement of the data platform blueprint and design. - Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. - Independently take ownership of tasks and become a subject matter expert. - Actively participate and contribute to team discussions and problem-solving. - Provide solutions to complex work-related challenges. - Work with cross-functional teams to align data platform components with business objectives. - Assist in troubleshooting and resolving technical issues concerning data platform integration. - Support junior team members through knowledge sharing and guidance on best practices.

- A minimum of 3 years of experience with the Databricks Unified Data Analytics Platform is required. - Demonstrated experience in developing and managing data pipelines within cloud environments. - Solid understanding of data integration techniques and adherence to best practices. - Familiarity with distributed computing frameworks and big data processing methodologies. - Ability to manage complex data models while ensuring data quality and consistency. - Proficiency in scripting and automation for streamlining data workflows. - A foundational 15 years of full-time education is necessary.