Databricks
Large (~7,000)
Figma
Large (~2,800)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Figma
Best for: Ambitious engineers who want world-class technical challenges on a beloved product
Ratings
DatabricksFigma
4.1
3.7
Overall
3.9
3.1
Work-Life Balance
4.0
4.0
Culture & Values
4.3
4.0
Comp & Benefits
3.8
3.2
Senior Mgmt
3.9
3.5
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 73% Recommend
👤 95% CEO Approval (Dylan Field)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive
Figma only
🚀 Ship Fast & Iterate🎧 Deep Work / Low Meetings
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
Figma
- World-class talent and technically ambitious problems — real-time multiplayer, WebAssembly rendering
- Strong product mission that employees genuinely believe in — Figma is loved by its users
- Work-life balance rated 3.1/5 — 60+ hour weeks common, especially near deadlines
- Hypergrowth growing pains — product suite doubled without proportional hiring
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Figma
Choose Figma if you want WebAssembly-level challenges on a product people love — but expect 60+ hour weeks during crunch.
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
Figma — 165 jobs
💼 Sales / GTM
63
💻 Engineering
26
👤 HR / People
13
🎨 Design
10
📣 Marketing
9
📋 Product
7
⚖️ Legal
5
⚙️ Operations
5
🎧 Support
3
📊 Data
2
💰 Finance
1
🧠 ML / AI
1