This role focuses on shaping the data architecture for applications. You'll be instrumental in defining data requirements and designing robust structures for storage and integration. The position demands a strategic approach to data modeling, ensuring efficient and scalable solutions.

Your work will contribute to building a solid foundation for application functionality and performance. Collaboration with various teams will be key to aligning data strategies with project objectives and driving successful outcomes. This is an opportunity to lead in data architecture and make a significant impact.

You will be expected to take ownership of tasks and develop into a subject matter expert. Active participation and contribution in team discussions are essential. You will also play a crucial role in providing solutions to complex work-related challenges.

Key responsibilities include collaborating with cross-functional teams to align data architecture with business and technical needs. Continuous evaluation and enhancement of data models and storage solutions are vital for system efficiency and scalability. Documenting architectural designs and standards will ensure knowledge sharing and consistency. Additionally, you will support junior team members by offering guidance and sharing best practices.

A strong command of the Databricks Unified Data Analytics Platform is a mandatory requirement. Experience with Generative AI and Large Language Models (LLMs) is highly desirable.

We are looking for individuals with a solid understanding of data modeling techniques and best practices for designing scalable architectures. Prior experience in managing data storage solutions and ensuring efficient cross-platform data integration is necessary. The ability to analyze intricate data requirements and translate them into effective architectural designs is crucial. Familiarity with cloud-based data platforms and distributed computing environments is also beneficial. A minimum of 3 years of experience is required for this position.