New Runtime data · Workforce
Databricks: what it hires for
Open postings on Databricks's public job board, classified by role family, with the tools and titles they name. As of Nov 12, 2026; the industry picture is on Workforce.
913 open192 new in 30 daysAll companiesJSON
Exhibit 1 · Family mix against the industry
Databricks over-weights sell and deploy: 83% of its analysed roles vs 45% industry
Databricks (bold) against the industry and the 3 companies with the closest mix (LangChain, Cursor and OpenAI). Each bar is 100% of analysed roles.
- All companies2,010 analysed45%25%16%
- Databricks311 of 913 in its top six83%
- LangChain62 of 101 in its top six76%13%
- Cursor (Anysphere)95 of 113 in its top six77%17%
- OpenAI311 of 823 in its top six52%18%21%
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. 602 of Databricks's 913 open postings are not analysed yet or sit outside its six largest families. Colours are the sectors of the hiring orbit.
Table · 6 rows
| Family | Open | Share of company |
|---|---|---|
| Go-to-market | 130 | 14% |
| Forward deployed | 117 | 13% |
| Operations | 31 | 3.4% |
| Product | 13 | 1.4% |
| Infrastructure | 10 | 1.1% |
| Customer success | 10 | 1.1% |
Exhibit 2 · Tool stack against the industry
Databricks: Apache Spark 6.5× the industry share (16% of its analysed roles vs 2.4%)
Bar = share of Databricks's postings in its top six families that ask for the tool; ink tick = share of all analysed postings. Its 8 most-asked tools.
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. Per-company tools are its eight most-asked; the ratio is its share over the industry's.
Table · 8 rows
| Tool | Postings | Share of its top six | Industry share |
|---|---|---|---|
| Python | 61 | 20% | 11% |
| Apache Spark | 49 | 16% | 2.4% |
| Salesforce | 49 | 16% | 3.8% |
| SQL | 49 | 16% | 4.3% |
| AWS | 48 | 15% | 5.0% |
| Azure | 41 | 13% | 3.4% |
| GCP | 29 | 9.3% | 3.3% |
| Java | 18 | 5.8% | 1.2% |
Exhibit 3 · Most common titles
Account Executive leads Databricks's titles with 55 postings; its top 8 titles hold 193
Bar = open postings with that exact title, without level, team or location.
- Account Executive55
- Solutions Architect55
- Delivery Solutions Architect19
- Forward Deployed Engineer19
- Enterprise Account Executive17
- Software Engineer14
- Solutions Engineer8
- Deployment Strategist6
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026.
Table · 8 rows
| Title | Postings |
|---|---|
| Account Executive | 55 |
| Solutions Architect | 55 |
| Delivery Solutions Architect | 19 |
| Forward Deployed Engineer | 19 |
| Enterprise Account Executive | 17 |
| Software Engineer | 14 |
| Solutions Engineer | 8 |
| Deployment Strategist | 6 |
How the numbers are made
- Counts come from the public job boards of AI companies (Greenhouse, Ashby and Lever), read once a day.
- A posting is open from the day we first see it until a full read of its board no longer lists it.
- Each posting is classified by a language model into a fixed set of role families, seniority levels, work modes and AI focus, and the tools and skills it asks for are listed; shares are of classified open postings.
- New means published in the last 30 days (or first seen after our first collection day when the board gives no date); everything open on our first day is the baseline, not new hiring.
- Salary bands use the midpoint of ranges the postings state themselves, only where at least 10 postings of one family state a range in one currency.
- Roles, never people: no recruiter, hiring manager or applicant is collected.