After Databricks
- 6%Founded something7
- 21%Joined a startup23
- 15%Joined a big company16
- 58%Elsewhere
Shares of those who moved on, by their next stop.
People who leave Databricks most often go to OpenAI, Google and Meta. 6% found something next. 21% go small. Median stay 2y 6m
These are the engineers in the Zelcast network and the profiles run through the Eng Scorer, not Databricks's headcount: 327 people on a map of 26,572, the No. 25 company on it by people. Updated August 20, 2026.
Put Databricks side by side with another company, every number against every number.
Ribbon width is the number of people who made the move. Most arrive from Google. Most leave for OpenAI (7% of recorded departures).
Shares of those who moved on, by their next stop.
288 stays with both a start and an end on the record.
2012 to 2026: 380 joined, 156 left.
there now 86 moved on 88. The people who left score higher than the people still there.
8 most common titles, by people who held them.
Everyone here with an Eng Scorer read, placed in their caliber tier.
325 of the 327 people here carry an Eng Scorer tier.
Exceptional and strong are the top two of the five tiers. 163 of the 325 people here with a read sit in them, 50%. A tier is the band an Eng Scorer caliber score falls in, so this is the same measurement as the median on the caliber card, opened up.
The level of the first title recorded here, against the last.
46%Titles that rose75 of 162 classified people
162 of the 327 people here had a title that could be placed on the ladder before and after.
A title rose when the last title recorded here sits higher on the ladder than the first; for someone who recorded one title here and then left, it is measured against the first title of their next role. The ladder runs intern, junior, mid, senior, staff or manager, principal, director, VP, then founder or C-level. A title that matches no rung is left out rather than guessed, and product, program and project managers are left out entirely, being a different ladder. That leaves 162 of the 327 people here classified, and it leans towards people who have left: someone still here on a single recorded title has nothing to be measured against.
The 8 most listed schools among the 322 people here with a school on file.
Of the 322 people here with a school on file, 91 list UC Berkeley, 26 list UIUC and 23 list Stanford. A person can list more than one school, so these overlap rather than add up.
128 of the 325 people here whose profile was checked for public accounts. An account the check did not find reads the same as no account, so this is a floor rather than a census.
Across the 325 companies on the map that can show this figure, the median is 38%.
86% of the people who have worked at Databricks and list a location live in the San Francisco Bay Area today, against 47% of everyone on the map.
325 of the 327 people who worked at Databricks list a location, and every share here is over those 325.
Where they live now, from the profile as it reads today, not where they sat while they worked at Databricks: a metro here does not mean the company has an office in it. The lower strip is the same metros across the whole map, for comparison.
Companies that show up most often alongside Databricks, at any point in a career.
About this data: built from 144,786 jobs across 26,572 engineers in the Zelcast network and Eng Scorer reads, updated August 20, 2026. A move counts when the next role starts within 24 months of leaving; companies with fewer than 20 people on the map are not shown, and destinations with fewer than 3 people are folded into the totals. Caliber is the Eng Scorer score.
Worked at Databricks? See how your profile reads to a startup hiring manager, and where it ranks among 26,572 engineers.
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