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Agentic Data Engineering:
Understanding the Shift to Build What’s Next with Adam Morton
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.
Episode 1
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
34
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.
Episode 2
Video
From coder to strategist: The practical shift to strategic thinking
Learn a practical four-part framework to reclaim up to 60% of your time by transitioning from manual "data tax" to strategic, AI-augmented leadership.
Video
23
min watch time
What you can expect to learn
1
Audit your current workload:
Identify which manual tasks can be automated, augmented by AI, or elevated to strategic work.
2
Master AI-augmented workflows:
See real-world examples of how AI can handle repetitive engineering tasks
3
Build Business Skills:
Master business literacy and architectural thinking to become a strategic, indispensable leader.
Episode 3
Video
Agentic AI in action: Real world transformations
What does adoption of Agentic AI look like in practice? Adam Morton interviews Chris Mihalicz, President and CEO of Three Point Turn, to discuss the real-world transformation of a data engineering team that leveraged AI agents to automate complex ETL subsystems and achieve a 5x to 10x multiplier on outcomes per head.
Video
12
min watch time
What you can expect to learn
1
Massive Productivity Gains:
Teams can achieve 5x to 10x more outcomes per head by automating manual tasks.
2
Evolving Talent Requirements:
Success requires problem solvers who can orchestrate agents rather than just advanced coders.
3
Essential Data Foundations:
Automation requires a single source of truth and organizational consensus on data definitions.
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