Responsibilities)

• Design, implement, and maintain scalable and efficient data architectures to support AI and automation projects.
• Collaborate with data scientists, AI researchers, and engineers to ensure data availability and quality for AI model training and deployment.
• Develop and optimize data pipelines and ETL processes to handle large volumes of structured and unstructured data.
• Ensure data integrity, security, and compliance with relevant regulations.
• Create and maintain comprehensive data models, schemas, and documentation.
• Evaluate and integrate new data technologies and tools to enhance our data infrastructure.
• Provide technical leadership and mentorship to data engineers and analysts.
• Stay current with industry trends and best practices in data architecture and AI.

Must-Have Qualifications

• Bachelor's degree in computer science, Information Systems, or a relate...