Shape the future of data within our applications as a Data Architect. This role is instrumental in defining data requirements and designing robust structures that ensure application success. You will be responsible for meticulously modeling application data, optimizing storage solutions, and facilitating seamless data integration.

Your expertise will drive the creation of an efficient and scalable data foundation, directly impacting application performance and functionality. Collaboration with cross-functional teams is key to aligning data strategies with overarching project objectives and business needs.

- Lead the definition of data requirements and design of application data structures. - Model, design, and implement application data storage and integration solutions. - Ensure data architecture aligns with business objectives and technical specifications. - Continuously assess and refine data models and storage for improved efficiency and scalability. - Create comprehensive documentation for data architecture designs and standards. - Provide mentorship and guidance to junior team members on data architecture best practices.

- Proven expertise in the Databricks Unified Data Analytics Platform is essential. - Experience with Generative AI and Large Language Models (LLMs) is highly desirable. - A strong foundation in data modeling techniques and designing scalable architectures is required. - Demonstrated ability to manage data storage solutions and ensure cross-platform integration. - Proficiency in analyzing complex data needs and translating them into effective architectural designs. - Familiarity with cloud data platforms and distributed computing environments is beneficial. - A minimum of 3 years of experience in data architecture, with a focus on Databricks, is mandatory. - Completion of 15 years of full-time education is a prerequisite.