As a Data Architect, you will be instrumental in defining the essential data requirements and designing the robust structure vital for application success. Your role will encompass modeling the data architecture, ensuring efficient and scalable storage solutions are implemented. Seamless integration of data across various systems will be a core responsibility, requiring meticulous planning to facilitate uninterrupted data flow and accessibility. This position plays a critical role in constructing a solid foundation that underpins the application's functionality and overall performance.

- Lead the definition of data requirements and design the application's data structure. - Model and design the application's data structure, storage, and integration strategies. - Drive independent performance and establish expertise as a Subject Matter Expert (SME). - Actively participate and contribute to team discussions and problem-solving. - Collaborate with cross-functional teams to align data architecture with business and technical needs. - Continuously assess and enhance data models and storage solutions for improved efficiency and scalability. - Document data architecture designs and standards to promote knowledge sharing and maintain consistency.

- Minimum 3 years of experience, with a strong focus on Databricks Unified Data Analytics Platform. - Expertise in defining data requirements and designing application data structures, storage, and integration. - Proven ability in data modeling techniques and best practices for scalable architectures. - Experience managing data storage solutions and ensuring efficient cross-platform data integration. - Skill in analyzing complex data needs and translating them into effective architectural designs. - Familiarity with cloud-based data platforms and distributed computing environments. - Experience with Generative AI and Large Language Models (LLMs) is advantageous.