In this interview from Snowflake Summit 2026 in San Francisco, Vaibhav Jajoo, head of data engineering, data platform and business intelligence at DoorDash, joins Chris Child, vice president of product management at Snowflake, to talk with theCUBE's Dave Vellante and Rebecca Knight about how a unified, governed data foundation enables the shift from experimental AI to production-ready agentic workflows. Jajoo describes how DoorDash processes petabytes of data daily across consumers, Dashers and merchants, and explains why machine users — including ML features and agentic workflows — now outpace human analysts in data consumption. He details how adopting an open architecture with Iceberg across its full data estate has cut costly data movement, reduced latency and freed engineers to focus on business outcomes rather than pipeline plumbing. Child adds that companies deploying agents most effectively are those that have built well-defined, well-documented data products rather than simply exposing thousands of tables. The conversation also explores how data engineering roles are evolving — not collapsing — as AI handles repetitive tasks and teams increasingly cross traditional boundaries. Child introduces Snowflake's CoCo and CoWork tools, designed respectively for teams building governed data products and teams consuming them, reflecting the platform's push to support all three layers of the modern data organization. Jajoo unpacks how DoorDash is constructing learning loops that teach agents which assets to invoke in a given context, preventing the confident hallucinations that arise when agents navigate an undifferentiated data lake. Child underscores Snowflake's strategic decision to bring models to the data rather than route governed, row-level access controls through external LLM integrations. From DoorDash's customer-first competitive philosophy to early-stage robotics experiments with its delivery robots, the discussion makes clear that durable AI outcomes begin with disciplined data fundamentals. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Introduction to DoorDash: Welcome and Data Architecture Overview 02:13 - Snowflake: Strategies in Data Engineering and Governance 04:35 - Advancing Data Engineering: Evolution and Roles at DoorDash 09:13 - Unified Data Strategy: Collaboration and Consistency 11:44 - AI-Driven Workflows: Transforming Business and Data Utilization 14:27 - Competitive Strategy and Innovation at DoorDash 16:42 - Innovative Collaboration and AI Integration: The Future at DoorDash #theCUBE #SnowflakeSummit #theCUBEresearch #Snowflake #DoorDash #AI #DataEngineering