After Databricks
- 5%Founded something11
- 19%Joined a startup41
- 21%Joined a big company44
- 55%Elsewhere
Shares of those who moved on, by their next stop.
People who leave Databricks most often go to Google, OpenAI and Anthropic. Of them, 5% found something next and 19% go somewhere small. The median tenure is 2y 2m
Not Databricks's headcount: these are the engineers in the Zelcast network and the profiles run through the Eng Scorer. 761 people on a map of 67,181, No. 27 on it by people. Updated September 30, 2026.
Ribbon width is the number of people who made the move. Most arrive from Google. Most leave for Google (10% of recorded departures).
Shares of those who moved on, by their next stop.
11 of the people who left went straight to a founding role, 5% of those who moved on, half of them the same month they left. The bars cover the ’15 to ’26 classes; earlier founders still count in the total.
709 stays with both a start and an end on the record.
2013 to 2026: 864 joined, 306 left.
there now 84 moved on 87. 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.
436 of the 761 people here carry an Eng Scorer tier.
180 of the 436 people here with a read sit in exceptional or strong, the top two of the five tiers, 41%. A tier is the band a 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.
51%Titles that rose157 of 308 classified people
308 of the 761 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 with one title here who then left, it's 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. Titles that match no rung are left out rather than guessed, and product, program and project managers are left out entirely as a different ladder. What's left leans towards people who have left: someone still here on one recorded title has nothing to measure against.
The 8 most listed schools among the 754 people here with a school on file.
141 of the 754 people here with a school on file list UC Berkeley, 87 list Carnegie Mellon and 65 list Stanford. A person can list more than one, so these overlap.
276 of the 760 people here whose profile was checked for public accounts. An account the check missed reads the same as no account, so this is a floor.
31% is the median across the 857 companies that can show this figure.
78% of the people who have worked at Databricks and list a location live in the San Francisco Bay Area today, against 41% of everyone on the map.
760 of the 761 people who worked at Databricks list a location, and every share here is over those 760.
Where they live now, from the profile as it reads today, not where they sat while working at Databricks: a metro here isn't an office there. The lower strip is the same metros across the whole map.
Companies that show up most often alongside Databricks, at any point in a career.
About this data: built from 352,028 jobs across 67,181 engineers in the Zelcast network and Eng Scorer reads, updated September 30, 2026. A move counts when the next role starts within 24 months of leaving. Companies under 20 people on the map aren't shown, and destinations under 3 people fold 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 67,181 engineers.
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