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Databricks

software industry San Francisco 4.0K employees website ↗

Databricks has 508 indexed roles weighted toward engineering across United States. Posting volume is steady (-91% week-over-week).

508
Indexed roles
+0%
14d momentum
508 recent vs 0 prior
#2
Industry rank
42.6% of 1.2K jobs · 2 peers
0.23
AI exposure (occupation)
Skill-weighted: 0.44
Hiring Trajectory
Posting volume over the last 2 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks.
134 268 402 536 2026-04-13: 466 postings 2026-04-20: 42 postings 2026-04-132026-04-20
stable Week-over-week: -91%
Functional Mix
Where the hiring is concentrated
Categories collapsed into 12 canonical buckets so cross-company comparisons stay coherent. Same map used on /live and /job-statistics.
Engineering
367
Sales
111
Marketing
10
Legal
5
Finance
5
Operations
4
Hr
3
Design
2
It
1
Geographic Distribution
Where postings live, and where they're moving
Free-text jobs.location resolved into 12 region buckets. Emerging hubs flagged when last-30-days postings >50% above prior 30 days.
United States
227 (44.7%)
EU
54 (10.6%)
APAC
52 (10.2%)
India
47 (9.3%)
Remote
29 (5.7%)
United Kingdom
26 (5.1%)
Australia/NZ
17 (3.3%)
EMEA Other
16 (3.1%)
↗ United States: 227 postings in last 30d, up from 0 prior (+100%)
↗ EU: 54 postings in last 30d, up from 0 prior (+100%)
↗ APAC: 52 postings in last 30d, up from 0 prior (+100%)
Seniority Distribution
Who exactly is being hired
Levels in postings, plus a separate read on executive-tier roles which are the leading indicator of strategic shifts.
Executive
97
Staff / Principal
63
Senior
313
Mid-level
19
Entry-level
12
43 VP/Director/Chief-level postings in the last 30 days (+100% vs prior 90d avg of 0)
Notable recent
Product Marketing Director, Lakewatch · United States 2026-04-25
Director, Enterprise Sales · Remote - Denmark 2026-04-24
Head of Corporate Engineering · San Francisco, California 2026-04-18
Director, VC-Backed Startup Sales (West) · Chicago, Illinois; Denver, Colorado; Los Angeles, California; San Francisco, California; Seattle, Washington 2026-04-18
Head of Marketing - Japan · Tokyo, Japan 2026-04-18
Disproportionate Skills
What this company is over-indexed on vs industry peers
Location Quotient = (this company's % of postings with skill X) ÷ (peer industry's % of the same skill). Values above 1.0 mean over-indexed. Peer baseline excludes this company itself, so a dominant employer doesn't collapse to ~1.0. Skills with fewer than 3 occurrences here are excluded.
Skill Postings This co. Peer avg LQ Required
AWS 60 11.8% 0.3% 40.45× 87%
Azure 60 11.8% 0.3% 40.45× 88%
Google Cloud 55 10.8% 0.3% 37.08× 87%
SQL 68 13.4% 0.6% 22.92× 94%
Privacy 14 2.8% 0.1% 18.88× 100%
Kafka 13 2.6% 0.1% 17.53× 85%
CSS 13 2.6% 0.1% 17.53× 85%
Java 87 17.1% 1% 16.76× 93%
Cloud Computing 24 4.7% 0.3% 16.18× 63%
Cryptography 12 2.4% 0.1% 16.18× 100%
HTML 11 2.2% 0.1% 14.83× 100%
Cloud 43 8.5% 0.6% 14.50× 93%
Distributed Systems 49 9.6% 0.7% 13.21× 100%
CI/CD 29 5.7% 0.4% 13.03× 100%
Data 9 1.8% 0.1% 12.14× 89%
Salary Positioning
Pay vs the industry baseline (USD midpoint)
Midpoint of salary_min/salary_max converted to USD via simple 2024-snapshot FX. Values outside $10k–$1M filtered as parser noise.
⚠ Low disclosure — only 4% of Databricks postings include a salary range (industry: 7%). The chart represents a small sample; treat ranges as indicative.
$180K $200K $220K $240K $260K $280K All regions Industry: $206,500 Company: $226,881 (n=20) United States Company: $228,138 (n=13) Unknown Company: $192,375 (n=5) Remote Company: $260,200 (n=2)
Databricks Industry baseline Databricks sits at the 68th percentile of industry pay
Market Position
Direct hiring competitors
Peer set is restricted to the same industry_canonical bucket and ranked by category-overlap (Jaccard on top 5 normalised categories). Each peer's hiring momentum is read from the same 14d / prior-14d windows.
Company Postings Similarity Momentum
Synopsys 677 43% accelerating
Strategic Themes
What this hiring is revealing

Coming soon.

Weekly LLM-synthesised brief — emerging capabilities, decaying capabilities, geographic shifts, seniority signals — drawn from the company's own posting tag distribution. Will populate once Phase 4 of the company-intelligence pipeline (OpenRouter long-context model) ships.

Latest
Most recent indexed postings
Remote - Arizona; Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington senior remote Engineering
Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington senior remote Engineering
United States senior remote Marketing
United States senior remote Engineering
Madrid senior hybrid Engineering
Montréal, Canada senior remote Engineering
Singapore senior onsite Engineering
Ottawa, Canada senior onsite Engineering
Methodology & Sources
How this is computed

Last enriched: 2026-04-18.

Company-data sources: wikidata, github, news, hackernews

Hiring aggregates run live against D1; cached at the edge for up to 24 hours. AI-exposure scores derive from O*NET 30.2 occupation taxonomy crossed with the Anthropic Economic Index 2026-03-24 release.

Caveats: salary parser uses 2024 FX snapshot rates; long-tail location strings may bucket as "Unknown"; Location Quotient excludes companies with fewer than 5 indexed roles to keep ratios stable. Salary disclosure under 20% triggers a warning on the salary chart.

Machine-readable equivalents: /companies/databricks.json · /companies/databricks.md · api.yubhub.co/stats/company/databricks