
Senior Manager, Data Engineering (AI-Native Builder)
Role summary
We are seeking a Senior Data Engineering Manager with an AI-native mindset to lead and build AI-ready data products. This hands-on leadership role requires deep architecture skills, strong data modeling instincts, and the ability to modernize legacy systems. You will lead and mentor a high-performing team, drive complex analytical and AI use cases, and migrate legacy platforms to modern pipelines, while staying deeply involved in the technical work. Experience with AWS-based data stacks like Redshift, Snowflake, or Databricks is highly valued. A vibe-coding challenge is part of the interview process.
If you
eat data for breakfast
and still get a dopamine hit from reviewing pipeline code… keep reading.
We’re looking for a
hands‑on leader
who can
build + lead
: deep architecture chops, strong data modeling instincts, and the appetite to modernize legacy systems into
AI‑ready data products
.
You’ll:
⚡ Lead and mentor a high‑performing teams
⚡ Drive complex analytical + AI use cases
⚡ Migrate legacy platforms and ship modern pipelines
⚡ Stay close to the tech — architecture, code, models, the real work
You
must be AI‑native
and comfortable “vibe‑coding” data models and pipelines with modern AI coding tools—it’s core to how we work.
Experience with
AWS‑based data stacks
is highly valued, including
Redshift, Snowflake, and/or Databricks
. If you’ve built or operated at scale on any of these, we want to talk.
🧪
Interview includes a vibe‑coding challenge.
If that sounds fun, you’re our kind of person.
👉
Apply now. Let’s build.
#DataEngineering #AI #DataProducts #ModernDataStack #Leadership #VibeCoding