Shape the application's data landscape as a Data Architect. This role focuses on defining data requirements, designing robust data structures, and implementing efficient storage and integration solutions. You'll be instrumental in modeling the application's data architecture, ensuring seamless data flow and integrity.

This position demands a strategic approach to data organization, supporting project goals and operational needs through well-designed data systems.

- Drive the definition of data requirements and application data structure. - Model and design the application's data structure, storage, and integration strategies. - Collaborate with cross-functional teams to align data architecture with business objectives. - Continuously refine data models and integration approaches for enhanced system performance. - Document architectural designs and maintain stakeholder communication. - Mentor junior team members on data architecture best practices.

- Minimum 3 years of experience with Databricks Unified Data Analytics Platform. - Proficiency in Databricks Unified Data Analytics Platform and PySpark. - Experience designing scalable data storage solutions and understanding data modeling principles. - Ability to integrate diverse data sources and optimize data pipelines. - Familiarity with cloud-based data platforms and distributed computing. - A strong academic background with 15 years of full-time education is required.