1 year ago
Base Salary
$304k - $437k/yr
Responsibilities
- Design, develop, and support fault-tolerant, scalable distributed metadata systems.
- Own architecture and design, influence the product roadmap, and identify new high-impact projects.
- Analyze and resolve fault-tolerance, high-availability, performance, and scale challenges.
- Balance consistency, performance, and cost when designing solutions for rapidly growing services.
- Ensure operational readiness and meet customer commitments for durability, availability, and performance.
- Mentor and develop junior engineers.
Requirements
- 15+ years of industry experience designing, building, and supporting large-scale distributed services.
- Deep expertise in database-system internals, including metadata management, clustering, compaction, catalogs, storage, and replication.
- Strong computer science fundamentals in data structures, algorithms, and distributed systems.
- Strong understanding of infrastructure concepts including multithreading, memory management, networking, storage, performance, reliability, and scalability.
- Fluency in Java or a similar procedural object-oriented language is preferred.
- Track record of implementing creative solutions to complex problems at cloud scale.
- Ability to collaborate effectively across engineering teams in multiple locations.
- Bachelor of Science in Computer Science is required; an advanced degree is preferred.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.