Join Tim and Chris for an in-depth conversation about how AI is reshaping data engineering careers and what skills matter most in 2025. From junior to principal level, discover the evolving expectations for data engineers, analysts, and the emerging analytics engineering role.
00:00 Education & Self-Taught Learning
02:28 AI Engineering & Career Ladders
04:54 Data Modeling & Cloud Computing
07:12 Financial Operations & Cost Management
08:42 Analytics Engineering Convergence
10:11 Business Value & ROI
12:33 AI Tools & Code Generation
13:02 Junior to Senior Engineer Expectations
17:06 DBT & Data Modeling Confusion
19:11 Analyst Career Evolution
25:52 Product Management & Domain Knowledge
30:59 Semantic Layers & APIs
33:39 Agent Systems & Multi-Source Data
34:07 Documentation & Context
44:27 Enterprise AI Adoption Challenges
45:57 Critical Thinking & Self-Learning
47:56 Data Enablement & Business Value
Playback speed
×
Share post
Share post at current time
Share from 0:00
0:00
/
0:00
Transcript
Data With Direction | Gambill Data Podcast
No hype. No buzzwords. Just real data strategy, engineering, and leadership insights from 25 years in the trenches. If you’re tired of noise and want to actually understand how to build, scale, and lead with data—this is where you start.
No hype. No buzzwords. Just real data strategy, engineering, and leadership insights from 25 years in the trenches. If you’re tired of noise and want to actually understand how to build, scale, and lead with data—this is where you start.Listen on
Substack App
Spotify
RSS Feed
Appears in episode

