219: Elizabeth Dobbs: Inside Databricks' stack with 3 AI agents, 1 lakehouse, and 6 years of data work

219: Elizabeth Dobbs: Inside Databricks' stack with 3 AI agents, 1 lakehouse, and 6 years of data work

May 12, 2026 · 57 min

About this episode

Elizabeth Dobbs discusses her experience building data infrastructure and AI agents at Databricks.

What's up everyone, today we have the pleasure of sitting down with Elizabeth Dobbs, AVP of Marketing Technology, Data and Growth at Databricks. (00:00) - Intro (01:18) - In This Episode (01:47) - Sponsor: Knak (02:55) - Sponsor: MoEngage (04:16) - Why Velocity Beats Permanence in Marketing Data Architecture (12:00) - Why Databricks Embedded Data Engineers Inside Marketing (15:02) - Inside Databricks' 3 Marketing Ops Agents (18:56) - How Databricks Built an AI Analyst That Marketing Teams Actually Trust (26:13) - How Agent Tagatha Cut Months of Manual Content Tagging to Hours (30:07) - Sponsor: AttributionApp (31:09) - Sponsor: GrowthLoop (34:48) - How Agent Atlas Replaced the Rules-Based Segmentation Wheel (39:28) - Why Marketers Don't Care Whether You Call It an Agent (43:32) - How to Get Data Warehouse Access When Your Team Doesn't Own It (48:36) - What Databricks Is Actually Testing for in Marketing Hires Now (54:04) - What Gives Liz Energy Outside the Office Summary: Elizabeth Dobbs spent 6 years at Databricks doing something most marketing leaders only talk about: building the data infrastructure before deploying the AI on top of it. She's shipped 3 production agents…

Sponsors

Knak, MoEngage, AttributionApp, GrowthLoop

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