As a Data Architect, you will define the critical data requirements and structure for applications. Your expertise will be vital in modeling and designing application data structures, storage, and integration. This role demands a deep understanding of how data flows and is organized to meet evolving project needs, requiring collaboration with stakeholders to align data architecture with business goals and technical limitations.

Independently perform and become a Subject Matter Expert (SME). Actively participate and contribute to team discussions. Provide effective solutions to work-related challenges. Collaborate with cross-functional teams to gather and analyze data requirements. Develop and maintain comprehensive documentation for data architecture and design decisions. Guide and support junior team members in understanding data models and integration techniques. Continuously evaluate and recommend enhancements to data storage and integration strategies for improved performance and scalability.

A minimum of 3 years of experience with the Databricks Unified Data Analytics Platform is essential. Proficiency in Databricks Unified Data Analytics Platform is a must-have skill. Experience with Generative AI and Large Language Models (LLMs) is advantageous. Possess strong knowledge of data modeling principles and best practices for application data structures. Demonstrated experience in designing scalable and efficient data storage solutions. Familiarity with data integration techniques and tools to ensure seamless data flow across systems. Ability to analyze complex data requirements and translate them into effective architectural designs.