Key Responsibilities

• Develop and maintain conceptual, logical, and physical data models that support AI and machine learning workloads.
• Design and optimize data storage patterns, ensuring performance, scalability, and compliance with governance standards.
• Collaborate with data engineers and ML engineers to build and maintain end‑to‑end data pipelines that feed analytics and model training.
• Implement data quality and validation frameworks to guarantee reliable, AI‑ready data across the organization.
• Define and enforce data governance policies, including metadata management, security, and data lineage.

Requirements

• Strong experience in data modeling, schema design, and data architecture for large-scale systems.
• Proficiency in building and optimizing data pipelines using modern ETL/ELT tools.
• Knowledge of machine learning workflows and the data requirements of AI solutions.
• Famil...