Senior Software Engineer, Snowflake
Query Execution
$240-338.1k
+ Bonus & equity plans
3-5 days a week in office ( San Mateo, CA)
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
$240-338.1k
+ Bonus & equity plans
3-5 days a week in office ( San Mateo, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 5+ years hands-on software engineering experience
- Significant background in database query processing engine or building core components for large-scale data processing systems (e.g. Oracle, Hekaton, Photon, Dremio, Spark, Presto, StarRocks, Doris etc)
- Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in C++, C, or Java preferred)
- Expertise in systems fundamentals including multi-threading, concurrency, IO subsystems, scheduling and modern hardware architectures
- Strong database fundamentals including SQL, performance, and schema design
- Strong communication, and collaboration skills
- Experience with one or more of the following highly desired:
- Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc)
- Scalable Distributed Data storage and processing systems such as FoundationDB, RocksDB/LevelDB, CockroachDB, TiDB, PolarDB, OceanBase, Redis, Cassandra, etc
- Intense curiosity, willingness to question, and passion for solving hard technical problems and making systems better
- Experience designing, building, and operating large-scale distributed systems or web services
- Track record of identifying and implementing creative solutions and delivering highly complex projects in the distributed systems space
- BS in Computer Science; Masters or PhD Preferred
What the job involves
- We are looking for experienced Senior Software Engineers to join us and contribute to the query execution layer of our database engine and push the performance of it to the next level for both analytical and transactional workloads
- We are solving some exciting technical challenges related to modern hardware and hybrid query processing. This is an opportunity to have a direct impact on the future of database computing
- Identify and implement novel query execution, transaction management, or distributed data processing algorithms which allow Snowflake to deliver industry-leading cloud database systems
- Build the next-generation transaction system, data formats, storage engine and multi-tenant database system
- Analyze and understand performance and scalability bottlenecks in the system and solve them
- Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions
- 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
- Evaluate and determine priorities with a critical understanding of where performance matters most
- Design and implement critical high-performance systems to handle the ever growing request rate of our database
- Own the end to end delivery of your projects, from identifying a solution, to design, implementation, testing and safe production rollout
- Evangelize best practices in database usage and end-to-end architecture
- 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!
- Learn about and contribute to:
- Super-robust and secure enterprise SaaS platform that services thousands of customers and millions of complex queries daily
- Highly-scalable and reliable data processing platform that runs on hundreds and thousands of machines
- User interfaces bridging the enterprise world with the consumer experience
- Join a world-class team of both industry veterans and rising stars
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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