Dave Skura is a data and AI architect with more than two decades of experience designing enterprise platforms that transform raw data into actionable intelligence. His work sits at the intersection of cloud engineering, analytics, and emerging AI technologies, helping organizations modernize legacy systems while building scalable foundations for machine learning and AI-driven decision making.
Throughout his career, Dave has led large-scale initiatives involving Databricks, Spark, Google Cloud, BigQuery, ETL modernization, and enterprise analytics architecture. He is known for bridging the gap between deep technical implementation and business strategy — translating complex challenges into practical, high-impact solutions that teams can actually deliver and maintain.
In recent years, Dave has focused heavily on the evolving AI landscape, including AI-ready data platforms, intelligent automation, governance, and the operational realities of bringing AI into large organizations. His approach combines hands-on engineering experience with a strong belief that successful AI initiatives depend as much on data quality, architecture, and trust as they do on models themselves.
When he’s not designing systems or exploring new AI capabilities, Dave enjoys mentoring, coaching, and helping teams navigate the rapidly changing world of data and artificial intelligence.
