Databricks
Large (~7,000)
Ramp
Large (~1,000+)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Ramp
Best for: Product-minded engineers who want exceptional comp and benefits at the fastest-growing fintech
Ratings
DatabricksRamp
4.1
4.2
Overall
3.9
3.5
Work-Life Balance
4.0
4.3
Culture & Values
4.3
4.5
Comp & Benefits
3.8
3.8
Senior Mgmt
3.9
4.0
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 82% Recommend
👤 88% CEO Approval (Eric Glyman)
Culture Values
Databricks only
🌈 Diverse & Inclusive
Ramp only
🚀 Ship Fast & Iterate🪟 Transparent Culture
Shared
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity🎯 Direct Product Impact
Pros & Cons
Databricks
- Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
- Strong compensation and equity packages consistently above market
- Hypergrowth means org changes are constant — teams restructure frequently
- Some legacy Spark-era tech debt that can slow down new features
Ramp
- Exceptional talent and product-driven culture — software engineers rate 4.7/5 on Glassdoor
- Outstanding compensation and benefits — 16 weeks maternity, IVF coverage, free lunch
- Intense work demands — 60+ hour weeks and 10-12 hour days are common
- Shifting to in-office preference — new hires expected 3+ days/week in NYC, SF, or Miami
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Ramp
Choose Ramp if you want top-tier comp and a product-driven fintech culture — but expect 60+ hour weeks and in-office expectations.
Open Roles
Databricks — 789 jobs
💼 Sales / GTM
319
💻 Engineering
258
📋 Product
52
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
15
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
⚖️ Legal
5
🎨 Design
4
🎧 Support
1
Ramp — 130 jobs
💻 Engineering
33
💼 Sales / GTM
26
📣 Marketing
9
📋 Product
7
💰 Finance
6
⚙️ Operations
4
📊 Data
3
🎨 Design
2
👤 HR / People
2
⚖️ Legal
1