"Tell me about a time you had to make an important decision with incomplete information. What was ambiguous, how did you think through it, and what did you do next? If helpful, you can use an example involving a Databricks surface like Jobs, Delta Live Tables, Unity Catalog, or a production platform change."
This question tests how you lead when the facts are not fully available and waiting for certainty is itself a decision. For an Engineering Manager at Databricks, that often means balancing customer impact, engineering risk, team capacity, and time pressure while aligning cross-functional stakeholders. Interviewers want to understand whether you can create clarity, define decision criteria, and move the team forward without pretending the ambiguity does not exist.
They are also looking for judgment: how you separated reversible from irreversible choices, what signals you used, how you communicated trade-offs, and whether you took ownership for the outcome rather than hiding behind process.
A strong answer uses one concrete example with real stakes, explains the missing information clearly, and shows a structured decision-making process rather than instinct alone. The best responses also quantify the outcome, describe how the candidate updated their view as new data arrived, and end with a lesson learned about leading through ambiguity.