Cloud Database Architect

3 days ago


San Mateo, California, United States Snowflake Computing Full time

We are seeking a senior engineer who has experience in the area of query processing and can help deliver impactful projects in the area of query compilation. As a member of our team, you will build an industry-leading data management system that customers love, solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more.

About Snowflake Computing

Snowflake Computing is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

This role offers the opportunity to work closely with the product team, help shape our roadmap, and become part of a highly talented team. The successful candidate will have 8+ years of hands-on software engineering experience, strong database fundamentals, fluency in object-oriented programming and SQL semantics and optimization, and expertise in systems fundamentals including multi-threading, concurrency, IO subsystems and scheduling.

The estimated base salary range for this role is $222,000 - $327,750. Additionally, this role is eligible to participate in Snowflake's bonus and equity plan. This role is also eligible for a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

Responsibilities
  • Work on the design, development and support of a highly distributed and performant database system with a specific focus on the Query Compiler
  • Design, develop, and support a highly-parallel and fault-tolerant database system comprising many technologies
  • Deal with issues from logical representation of the execution plan to efficient resource management, all the way down to highly specialized vectorized execution


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