Databricks
Large (~7,000)
Hebbia
Small (~140)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Hebbia
Best for: Engineers who want a famously kind, high-EQ team building cutting-edge AI for finance and legal professionals
Ratings
DatabricksHebbia
4.1
4.4
Overall
3.9
3.2
Work-Life Balance
4.0
4.5
Culture & Values
4.3
4.4
Comp & Benefits
3.8
4.2
Senior Mgmt
3.9
4.2
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 88% Recommend
👤 92% CEO Approval (George Sivulka)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive
Hebbia only
🚀 Ship Fast & Iterate🧩 Wears Many Hats
Shared
⚙️ Engineering-Driven🌱 Learning & Growth🎯 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
Hebbia
- Incredible culture and smart, kind team
- Cutting-edge AI work in finance
- Very long hours expected
- Fully in-office, no flexibility
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Hebbia
Choose Hebbia if you want one of the most collegial cultures in AI (4.4 Glassdoor, 88% recommend) and direct impact in fintech — but expect very long hours and fully in-office, no remote flexibility.
Open Roles
Databricks — 842 jobs
💼 Sales / GTM
353
💻 Engineering
284
📋 Product
39
📣 Marketing
34
📊 Data
22
👤 HR / People
12
🧠 ML / AI
12
⚙️ Operations
11
🎨 Design
6
💰 Finance
5
⚖️ Legal
5
Hebbia — 32 jobs
💼 Sales / GTM
10
💻 Engineering
8
📊 Data
2
🎨 Design
2
💰 Finance
1
👤 HR / People
1
🧠 ML / AI
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Hebbia scores 4.4/5.0 overall with a 3.2 WLB. That’s a 0.3-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Direct Product Impact. Databricks also emphasizes Strong Comp & Equity, Diverse & Inclusive. Hebbia also emphasizes Ship Fast & Iterate, Wears Many Hats.
On the hiring front, Databricks has 842 open roles and Hebbia has 32 open roles.