"Walk me through a customer-facing technical workshop you led or co-led, ideally one involving the Databricks Data Intelligence Platform. I’m interested in how you prepared, how you handled ambiguity or competing stakeholder needs in the room, and what outcome you drove afterward."
For a Solutions Architect at Databricks, workshops are not just demos—they are moments where you align business goals, technical architecture, and executive expectations under real time pressure. I’m looking for evidence that you can lead with credibility, adapt when requirements are unclear, influence people you don’t manage, and keep the session focused on customer value rather than feature dumping.
I also want to understand how you navigate friction: for example, when a data engineering lead wants to focus on Delta Lake and Unity Catalog, while a data science team wants to discuss MLflow or Mosaic AI. Strong candidates show judgment in how they prioritize, redirect, and still leave stakeholders feeling heard.
A strong answer uses a specific example with clear stakes, explains how you structured the workshop, and shows how you responded to live challenges or ambiguity. The best responses end with a concrete business or technical outcome, quantified where possible, plus one lesson you took forward into future customer engagements.