Chris Child & Vaibhav (VJ) Jajoo | Snowflake Summit 2026

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
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https://www.thecube.net/ and Data Architecture Overview and Governance DoorDash AI-Driven Workflows: Transforming Business and Data Utilization 14:27 -
Competitive Strategy and Innovation at DoorDash and AI Integration: The Future at DoorDash #theCUBE #SnowflakeSummit
#theCUBEresearch #Snowflake #DoorDash #AI #DataEngineering
00:00 - Intro
00:06 - Building Foundations: From Introductions to Innovation
02:13 - Strategic Data Management: Insights from Snowflake and DoorDash
04:26 - Evolving Roles in Data Engineering: Embracing AI and Automation
08:07 - Governance and Intelligent Systems: Managing Data with Agentic Workflows
12:11 - Handling Conflicting Data and Learning Loops
14:11 - Strategic Innovations and Future Opportunities in Data-Driven Systems

Видео Chris Child & Vaibhav (VJ) Jajoo | Snowflake Summit 2026 канала SiliconANGLE theCUBE