Agentic Data Engineering:

Understand the Shift

The shift from pipeline coder to data product builder pipeline doesn't happen automatically. Adam Morton's 3-part series gives data engineers a clear view of how agentic systems work, an honest framework to evaluate their own role, and the skills needed to stay relevant as the work changes.

Video

Your role is changing, and it’s a good thing

Discover how the shift to agentic data engineering is transforming the industry by moving beyond manual pipeline maintenance to autonomous, AI-driven systems. Adam Morton explores how data engineers can reclaim up to 60% of their time, shifting from "firefighting" repetitive tasks to focusing on high-impact strategic work and architectural leadership.

Video
31
min watch time

What you can expect to learn

1

The Sustainability Crisis:

Exponentially growing data demands coupled with flat team sizes have created an unsustainable environment where data engineers spend up to 60% of their time on manual pipeline maintenance.

2

What are Agentic Systems:

Agentic systems are intelligent, autonomous workflows that independently plan, execute, and monitor data pipelines within human-defined guardrails rather than just assisting with code.

3

Your Opportunity:

By reclaiming up to 60% of your time, you can elevate your role from manual "firefighting" to high-impact strategic leadership in platform engineering and AI architecture.

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Adam Morton
Founder of Mastering Snowflake
Adam Morton is an internationally recognized data leader, best-selling author, and founder of the Mastering Snowflake Program. He was awarded a Global Talent Visa by the Australian Government in 2020 for his contributions to the data and analytics field.

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