Modern data engineers in the AI era are evolving into key strategists making rapid decisions in real time, akin to race engineers in Formula 1.
The focus is on embedding context layers into data pipelines and shifting towards a product mindset to anticipate business intent, rather than just providing data.
Real-time signals and context-awareness are crucial for building platforms with AI and delivering relevant outputs, emphasizing the importance of understanding users and regions.
Data engineers must monitor, interpret, and strategize to leverage data effectively, similar to how race engineers analyze information to make informed decisions.