Data Architect

Job summary

Hands-On Data Engineering & Platform Leadership We don't need someone who just knows how a data warehouse should work. We need someone who's actually built one. Someone who can open the code, trace the data, understand what's broken, and know what needs fixing. Someone who's worked hands-on with Azure Data Lake, data warehousing, and Medallion Architecture (Bronze → Silver → Gold). Our architecture already exists. Your job is to find what's missing, fix what isn't working, and make the entire thing reliable. You need to be able to do two things exceptionally well. Understand the busi…

Job details

Hands-On Data Engineering & Platform Leadership We don't need someone who just knows how a data warehouse should work. We need someone who's actually built one. Someone who can open the code, trace the data, understand what's broken, and know what needs fixing. Someone who's worked hands-on with Azure Data Lake, data warehousing, and Medallion Architecture (Bronze → Silver → Gold). Our architecture already exists. Your job is to find what's missing, fix what isn't working, and make the entire thing reliable. You need to be able to do two things exceptionally well. Understand the business. Take a high-level problem, challenge what doesn't make sense, and translate it into something engineers can actually build. Understand the engineering. Get into the code, understand the technical details, make the right architectural decisions, and explain them to someone who doesn't write code. You'll lead a small team of Data Engineers and a Data Analyst, but this is not a role where you simply delegate the technical work. You probably won't thrive here if: Your recent experience is mostly management or advisory work. You can design architecture but haven't built or debugged it yourself. You need detailed technical instructions before you can act. You can explain the technology but not why it matters to the business. You think your responsibility ends when the data reaches the warehouse. What success looks like Every source connects. Every layer works. Every team gets the data it needs. The numbers match. And AI can trust what's underneath. When someone asks, "Can we trust this data?" The answer is yes.

Listed skills

• Microsoft Azure · Preferred
• Technical · Preferred
• Leadership · Preferred
• Attention to detail · Preferred
• Data analysis · Preferred
• responsibility · Preferred
• management · Preferred
• Warehouse · Preferred

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