🛠 Tech Stack

💼 About This Role

You'll lead performance improvements for Snowflake's Dynamic Tables engine, the fastest-growing product in the company. Your work will directly impact incremental view maintenance and cloud-scale data pipelines. This role offers the chance to publish at top database conferences like SIGMOD and VLDB.

🎯 What You'll Do

• Lead design and implementation of performance improvements for incremental view maintenance engine
• Help define roadmap for incremental view maintenance, prioritizing high-impact milestones
• Collaborate across teams to co-design improvements for incremental pipelines
• Mentor engineers, drive design reviews, and raise technical bar

📋 Requirements

• 10+ years of experience building and optimizing large-scale data systems
• Deep expertise in query optimization, incremental/stream processing, or materialized view maintenance
• Proficiency in C++ or Java with systems-level performance analysis
• Experience leading multi-engineer, cross-team technical initiatives

✨ Nice to Have

• Experience with analytical DBMS like BigQuery, Redshift, or Databricks
• Familiarity with stream processing algorithms
• Experience with CDC pipelines or data lake architectures (Iceberg, Delta)

🎁 Benefits & Perks

• 💰 Competitive salary ($236K–$339.2K)
• 🏖️ Flexible remote work
• 📈 Equity offerings
• 🩺 Comprehensive health benefits
• 🎓 Professional development opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Screen· 60 min
3. 3Onsite (virtual) technical interviews· 4 hours