Careers
Practice
Data Engineering
Specialization
Data & AI Architecture (Databricks)
Location
Remote
Employment type
Full Time
Experience
6–9 Years
You will own the technical architecture for a Databricks-native project, setting the design standards, governance model and platform direction that the wider delivery team builds against. This is a design-and-decide role: you will define the Lakehouse architecture across Unity Catalog, Delta Lake, Lakeflow and Mosaic AI, make the calls on how GenAI and agentic capability get built on the platform, and defend those calls to client stakeholders. You will spend less time in a single notebook and more time making sure the platform holds up as the project scales. This role is for someone who already eats, sleeps and breathes Databricks and wants to shape how a client's entire Lakehouse gets built, not just contribute a model to it.
Not required, but a strong plus if your experience already includes any of the following.
A genuinely remote-first team, built around trust and ownership rather than hours logged.
Direct exposure to client leadership from day one, with no layers between you and the work that matters.
A high-growth environment where your judgment shapes how we work, not just what we deliver.
A small, deliberately high-caliber team that takes the craft seriously and holds a high bar for each other.
A straightforward, three-conversation process, no take-home busywork disconnected from the job.
A conversation about your experience, what you're looking for, and what we're building together.
Grounded in real engineering problems, not abstract puzzles disconnected from the work.
Time with the team you'd actually be working with, in both directions.
Send your resume and a short note on relevant experience. We read every application.
