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Agentic Data Engineering Playbook

Wednesday, December 2, 11 AM ET

Key Takeaways

  • Learn how AI agents have changed the data engineering role and what that means for team leadership.
  • Discover the latest tech stacks and ways of working that high-performing data engineering teams are adopting today.
  • Understand what skills you and your employees need to succeed as AI agents become core to data pipelines.

Your Presenter(s)

Matt Glickman headshot

Matt Glickman

CEO & Co-founder at Genesis Computing

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Matt runs Snowflake-based AI Agent company Genesis Computing. He has three decades experience in financial services and product management, having risen through the ranks at Goldman Sachs to Managing Director before moving to Snowflake as VP of Customer Product Strategy for Financial Services.

Jess MacLeod headshot

Jess MacLeod

Global Head of Agentic Data Engineering at Kubrick Group

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Jess is Global Head of Agentic Data Engineering at Kubrick Group. She leads Kubrick's practice in agentic data engineering, helping organizations understand how AI agents are reshaping the field. Her work covers the new skills, tools, and ways of working that data engineering teams need as AI takes on more of the pipeline.

Lauren Delgado headshot

Lauren Delgado

Director of Product Marketing for Data Engineering at Snowflake

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Lauren is Director of Product Marketing for Data Engineering at Snowflake, where she leads go-to-market efforts for data engineering products. Before joining Snowflake, she worked in marketing roles at Microsoft and Google. She specializes in bringing new data and cloud products to market and helping customers understand the tools that power modern data engineering.

Bilal Aslam headshot

Bilal Aslam

Senior Director of Product Management for Lakehouse at Databricks

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Bilal leads product management for data engineering at Databricks, with a focus on the Lakehouse platform. He is known for his work on data pipelines and agentic data engineering. Before Databricks, he founded a startup that was acquired by DocuSign and worked as a product manager at Microsoft Azure.

Why this matters

AI agents are taking on tasks that data engineers once owned — writing pipelines, monitoring data quality, and resolving failures in real time. This shift is changing what data engineering teams are expected to deliver, and what it takes to lead them well. Teams that don't adapt risk falling behind. Understanding how to lead in an agentic world is now a core skill for any data engineering leader.

In this panel interview webinar, Matt Glickman (CEO at Genesis Computing), Jess MacLeod (Global Head of Agentic Data Engineering at Kubrick Group), Lauren Delgado (Director of Product Marketing at Snowflake), and Bilal Aslam (Senior Director of Product Management at Databricks), will explore how AI agents have changed the data engineering role and what that means for leaders. They will cover the latest tech stacks and ways of working that high-performing teams are adopting, and break down the skills that data engineering leaders and their employees need to succeed in an AI-first environment.

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