Databricks
Large (~7,000)
Stripe
Large (~8,000)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Stripe
Best for: Engineers who value code quality, writing culture, and fintech at the highest level
Ratings
DatabricksStripe
4.1
4.0
Overall
3.9
3.6
Work-Life Balance
4.0
4.1
Culture & Values
4.3
4.5
Comp & Benefits
3.8
3.7
Senior Mgmt
3.9
3.8
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 80% Recommend
👤 82% CEO Approval (Patrick Collison)
Culture Values
Databricks only
🌈 Diverse & Inclusive
Stripe only
🪟 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
Stripe
- Engineering culture is elite — code quality and writing culture are best-in-class
- Top compensation in fintech — competitive base, equity, and benefits
- Perfectionism can slow shipping — high bar sometimes means slower velocity
- The 2022-23 layoffs affected morale — company has been rebuilding confidence
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Stripe
Choose Stripe if you want elite engineering culture with top comp — but perfectionism can slow shipping velocity.
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
Stripe — 526 jobs
💼 Sales / GTM
111
💻 Engineering
108
📋 Product
56
⚙️ Operations
38
📣 Marketing
36
💰 Finance
21
📊 Data
20
👤 HR / People
18
⚖️ Legal
14
🎨 Design
13
🧠 ML / AI
12
🎧 Support
3