How Jahez Built Saudi Arabia's AI-Ready Data Platform on Snowflake

From Fragmented Stack to AI-Ready Platform — How Jahez Powers Saudi Arabia’s Leading Delivery App on Snowflake

Join an exclusive virtual fireside chat with Mohammed Al Barrak, CTO of Jahez, and Stuart Nyemecz, VP EMEA at Snowflake.

Jahez — Saudi Arabia’s publicly listed food and grocery delivery platform serving millions of customers — made a bold bet: replace a fragmented AWS stack with Snowflake as their single data platform.

The result? 150M+ records ingested daily. 500+ dashboards powered by unified data. Real-time order analytics, AI-driven personalization, and the elastic compute scale to handle Ramadan peaks without breaking a sweat.

In this candid fireside chat, Mohammed Al Barrak, the founding technologist who scaled Jahez from startup to its Tadawul IPO, sits down with Snowflake’s EMEA VP Stuart Nyemecz to discuss:

• Why Jahez replaced Spark, Redshift, PostgreSQL, and five other tools with a single platform
• How they designed a production-grade Medallion Lakehouse with 2,000+ managed tables
• The role of real-time data in driver optimization, demand forecasting, and peak-period scaling
• What AI at Jahez looks like today — ML personalization, demand forecasting, and what’s next with AI agents
• How Saudi Vision 2030 is shaping their engineering roadmap
• Whether you’re a CTO evaluating your data stack, an engineering leader planning your AI strategy, or a builder working in the region — this session is built for you.