I currently run a team of five people across analytics and intelligent automation. Our tech stack on a day-to-day basis is Microsoft Fabric, Power BI, SQL, Python (mostly NumPy and Pandas), Copilot Studio, and the Power Platform. I'm starting to think about my next career move and want to invest some time in skills that will actually make a difference when I apply for more senior roles.
I've been looking at Snowflake, Azure Databricks and the wider Azure Data Services suite. The question on my mind is whether it would be a worthwhile long-term investment to gain practical experience with these platforms, given how rapidly the data and AI world is changing.
For folks in analytics leadership, data engineering or intelligent automation, what would you say you'd next like to learn? Would you go for more cloud data platform know-how, dig deeper into AI and automation, or develop more strategic skills around data architecture and leadership?
I'd be interested to know what has actually enabled people to get into more senior roles, rather than just adding more tools to their CVs.
I've been looking at Snowflake, Azure Databricks and the wider Azure Data Services suite. The question on my mind is whether it would be a worthwhile long-term investment to gain practical experience with these platforms, given how rapidly the data and AI world is changing.
For folks in analytics leadership, data engineering or intelligent automation, what would you say you'd next like to learn? Would you go for more cloud data platform know-how, dig deeper into AI and automation, or develop more strategic skills around data architecture and leadership?
I'd be interested to know what has actually enabled people to get into more senior roles, rather than just adding more tools to their CVs.