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AI skills glossary · Data platform

Databricks

A data and AI platform built around Apache Spark and the lakehouse architecture, used for large-scale data engineering and model training.

Hiring data as of November 14, 2026, refreshed daily. All terms in the AI skills glossary

companies naming it
3 of 47companies naming it
open roles naming it
5open roles naming it
of those based in NYC
2of those based in NYC
pay: under 8 posted ranges
—pay: under 8 posted ranges

What Databricks means

Databricks combines data lake storage with warehouse-style querying and adds managed tooling for machine learning. It is common in larger enterprises and is often what a startup’s customers run. Databricks’ own postings are excluded from this count.

Databricks in New York job posts

3 of the 47 New York AI companies we track name Databricks in at least one open role today, across 5 postings. 2 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 60% of the postings that name it are Engineering roles.

Spade alone accounts for 3 of the 5 postings, which is why we lead with the company count: one employer’s hiring push should not read as a market trend.

How to read it

In startup postings it appears in data engineering and also in product and customer-facing roles, where the job includes working inside a client’s Databricks environment.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Databricks before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.

Companies naming Databricks, daily

Count of companies with at least one open role naming the term. We read between 46 and 48 companies a day over this period, so a move of one or two is noise.

05103Aug 17Nov 14Aug 17: 7 companiesAug 18: 6 companiesAug 19: 6 companiesAug 20: 6 companiesAug 21: 6 companiesAug 22: 7 companiesAug 23: 7 companiesAug 24: 7 companiesAug 25: 7 companiesAug 26: 6 companiesAug 27: 5 companiesAug 28: 5 companiesAug 29: 5 companiesAug 30: 5 companiesAug 31: 5 companiesSep 1: 4 companiesSep 2: 4 companiesSep 3: 4 companiesSep 4: 4 companiesSep 5: 4 companiesSep 6: 4 companiesSep 7: 4 companiesSep 8: 4 companiesSep 9: 4 companiesSep 10: 4 companiesSep 11: 4 companiesSep 12: 4 companiesSep 13: 4 companiesSep 14: 4 companiesSep 15: 5 companiesSep 16: 5 companiesSep 17: 5 companiesSep 18: 6 companiesSep 19: 6 companiesSep 20: 6 companiesSep 21: 6 companiesSep 22: 6 companiesSep 23: 6 companiesSep 24: 6 companiesSep 25: 6 companiesSep 26: 6 companiesSep 27: 6 companiesSep 28: 7 companiesSep 29: 7 companiesSep 30: 7 companiesOct 1: 7 companiesOct 2: 7 companiesOct 3: 7 companiesOct 4: 7 companiesOct 5: 6 companiesOct 6: 6 companiesOct 7: 6 companiesOct 8: 6 companiesOct 9: 6 companiesOct 10: 6 companiesOct 11: 6 companiesOct 12: 6 companiesOct 13: 6 companiesOct 14: 6 companiesOct 15: 6 companiesOct 16: 6 companiesOct 17: 7 companiesOct 18: 7 companiesOct 19: 7 companiesOct 20: 6 companiesOct 21: 6 companiesOct 22: 6 companiesOct 23: 6 companiesOct 24: 6 companiesOct 25: 6 companiesOct 26: 6 companiesOct 27: 6 companiesOct 28: 6 companiesOct 29: 6 companiesOct 30: 6 companiesOct 31: 6 companiesNov 1: 6 companiesNov 2: 6 companiesNov 3: 6 companiesNov 4: 5 companiesNov 5: 5 companiesNov 6: 4 companiesNov 7: 4 companiesNov 8: 4 companiesNov 9: 4 companiesNov 10: 3 companiesNov 11: 3 companiesNov 12: 3 companiesNov 13: 3 companiesNov 14: 3 companies
View as table
Datecompanies
2026-08-177
2026-08-186
2026-08-196
2026-08-206
2026-08-216
2026-08-227
2026-08-237
2026-08-247
2026-08-257
2026-08-266
2026-08-275
2026-08-285
2026-08-295
2026-08-305
2026-08-315
2026-09-014
2026-09-024
2026-09-034
2026-09-044
2026-09-054
2026-09-064
2026-09-074
2026-09-084
2026-09-094
2026-09-104
2026-09-114
2026-09-124
2026-09-134
2026-09-144
2026-09-155
2026-09-165
2026-09-175
2026-09-186
2026-09-196
2026-09-206
2026-09-216
2026-09-226
2026-09-236
2026-09-246
2026-09-256
2026-09-266
2026-09-276
2026-09-287
2026-09-297
2026-09-307
2026-10-017
2026-10-027
2026-10-037
2026-10-047
2026-10-056
2026-10-066
2026-10-076
2026-10-086
2026-10-096
2026-10-106
2026-10-116
2026-10-126
2026-10-136
2026-10-146
2026-10-156
2026-10-166
2026-10-177
2026-10-187
2026-10-197
2026-10-206
2026-10-216
2026-10-226
2026-10-236
2026-10-246
2026-10-256
2026-10-266
2026-10-276
2026-10-286
2026-10-296
2026-10-306
2026-10-316
2026-11-016
2026-11-026
2026-11-036
2026-11-045
2026-11-055
2026-11-064
2026-11-074
2026-11-084
2026-11-094
2026-11-103
2026-11-113
2026-11-123
2026-11-133
2026-11-143

Who names it

Open roles naming Databricks, by company.

  • Spade3
  • Preql1
  • Reality Defender1

Which roles

The same postings, by function and by seniority.

  • Engineering3
  • Product1
  • Research1
  • Mid3
  • Staff/Principal1
  • Senior1

Named alongside Databricks

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 3 companies pair the two.

Open roles naming Databricks

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

Databricks: common questions

What does Databricks mean in an AI job posting?

A data and AI platform built around Apache Spark and the lakehouse architecture, used for large-scale data engineering and model training. In startup postings it appears in data engineering and also in product and customer-facing roles, where the job includes working inside a client’s Databricks environment.

How many New York AI companies are hiring for Databricks?

As of November 14, 2026, 3 of the 47 New York AI companies we track name Databricks in the description of at least one open role, across 5 postings (2 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Databricks pay in New York?

We do not publish a pay figure for Databricks yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.

Which skills are asked for alongside Databricks?

In the same postings, the terms most distinctively paired with Databricks are dbt, SQL, Python, Machine learning, AWS. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

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