About the role
As a Data Architect, your day involves defining data requirements and designing the structure the application needs to function efficiently. You will focus on modeling the data architecture, ensuring that storage solutions are well planned and seamlessly integrated within the application environment. This role requires a thoughtful approach to organizing data flows and maintaining coherence across various components, enabling smooth data accessibility and management throughout the application lifecycle.
Responsibilities:
- Define the data requirements and structure for the application.
- Model and design the application data structure, storage, and integration.
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute to providing solutions to work-related problems.
- Collaborate with cross-functional teams to align data architecture with business goals.
- Continuously evaluate and improve data integration processes to enhance system performance.
- Document data models and integration workflows to support knowledge sharing and future development.
- Assist junior team members by providing guidance and support in understanding data architecture concepts.
Requirements:
- Must-Have Skills: Proficiency in AI Agents and Workflow Integration.
- Good-to-Have Skills: Experience with Machine Learning (ML).
- Strong knowledge of data modeling techniques and best practices.
- Experience in designing scalable and maintainable data storage solutions.
- Familiarity with data integration strategies and tools to ensure seamless data flow.
- Ability to analyze complex data requirements and translate them into effective architectural designs.
Additional Information:
- The candidate should have a minimum of 3 years of experience in AI agents and workflow integration.
- A 15-year full-time education is required.
- 15 years full time education.