Shape the future of our application's data landscape as a Data Architect. This pivotal role involves defining precise data requirements and architecting robust data structures. You will be instrumental in modeling, designing, and implementing efficient data storage and seamless integration solutions across the application ecosystem. Your expertise will drive the creation of a solid data foundation, directly impacting the application's performance and functionality. Collaborate closely with diverse teams to ensure data strategies align perfectly with overarching project objectives and business imperatives.

- Spearhead data requirement definition and structural design for applications. - Model, design, and implement application data structures, storage, and integration. - Take ownership of technical solutions and become a subject matter expert. - Actively contribute to team discussions and problem-solving initiatives. - Ensure data architecture aligns with business needs and technical specifications through cross-functional collaboration. - Continuously refine data models and storage solutions for optimal efficiency and scalability. - Document architectural designs and standards to promote knowledge sharing and consistency. - Mentor junior team members, imparting best practices in data architecture.

- A minimum of 3 years of hands-on experience with the Databricks Unified Data Analytics Platform is essential. - Strong proficiency in Generative AI and Large Language Models (LLMs) is highly desirable. - Demonstrated expertise in data modeling techniques and designing scalable data architectures. - Proven experience managing data storage solutions and ensuring cross-platform data integration. - Ability to translate complex data requirements into effective architectural designs. - Familiarity with cloud-based data platforms and distributed computing environments is beneficial. - A commitment to 15 years of full-time education is required for this role.