🛠 Tech Stack

💼 About This Role

You'll own the architecture of our data lakehouse and build infrastructure that powers internal analytics and data products. You'll partner cross-functionally to deliver reliable, governed data at scale for cutting-edge AI use cases. This is a unique chance to dogfood the products we build and have executive visibility.

🎯 What You'll Do

• Own architecture and operations of data lakehouse
• Build infrastructure for reliable data transformation
• Establish data contracts with product engineering
• Drive decisions on platform architecture and best practices

📋 Requirements

• Expert-level SQL and Python skills
• 5+ years as data engineer, 8+ total software engineering experience
• Strong knowledge of data lakehouse architecture
• Hands-on experience with orchestration tools like Airflow, Dagster, or Prefect

✨ Nice to Have

• Experience developing and scaling dbt projects
• Hands-on experience with Apache Iceberg or other open table formats
• Experience designing platform infrastructure for multiple downstream teams

🎁 Benefits & Perks

• 🏖️ Unlimited vacation time with culture encouraging time off
• 💰 401k plan with 3% guaranteed company contribution
• 🏥 Comprehensive healthcare coverage
• 👶 Generous paid parental leave
• 📚 Flexible stipends for wellness, home office, learning, and more

📨 Hiring Process

Estimated timeline: 3-5 weeks

1. 1Interview with Talent Acquisition Partner· 45 min
2. 2Interview with Hiring Manager· 45 min
3. 3Team Interviews· 3 hours
4. 4Values discussion with Data Leader· 30 min