I recently saw a radar chart (shared below) that maps out the skill sets across these roles—and it got me thinking…

Here’s a quick breakdown:

🔧 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 – The pipeline architect. Loves building scalable systems. Tools like Kafka, Spark, and Airflow are your playground.

🤖 𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 – The deployment expert. Knows how to take a model and make it work in the real world. Think automation, DevOps, and system design.

🧠 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 – The experimenter. Focused on digging deep, modeling, and delivering insights. Python, stats, and Jupyter notebooks all day.

📈 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 – The storyteller. Turns raw numbers into meaningful business insights. If you live in Excel, Tableau, or Power BI—you know what I mean.

💡 𝗥𝗲𝗮𝗹 𝘁𝗮𝗹𝗸: You don’t need to be all of them. But knowing where you shine helps you aim your learning and job search in the right direction.