F5

AI Data Engineer responsible for building and optimizing data pipelines for AI model training and automation initiatives within corporate operations. Focuses on data quality, integrity, and availability for AI systems, with a strong emphasis on Python, SQL, and big data frameworks.

Product Manager to architect and scale an AI-Ready Data Quality Platform built on Databricks and Unity Catalog. The role focuses on defining and shipping platform capabilities for an AI Data Fabric, including real-time anomaly detection, schema enforcement, and automated data contract validation. It emphasizes treating data quality like SRE treats uptime and driving data ownership as a product discipline, aligning catalog metadata with AI feature stores and inference pipelines.

Architect role focused on building and enhancing a data platform, with a significant emphasis on integrating AI capabilities for governance, metadata management, and handling unstructured data across multi-cloud environments.