Principal Engineer, Snowflake

Database Internals

$235-368k

Eligible to participate in Snowflake’s bonus and equity plan

SQL

Java

Redis

Cassandra

C++

DynamoDB

Expert level

San Francisco Bay Area

3-5 days a week in office (San Mateo, CA)

Snowflake's AI Data Cloud helps customers share data, build apps and power their business with AI.

Open for applications

Snowflake's AI Data Cloud helps customers share data, build apps and power their business with AI.

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Open for applications

$235-368k

Eligible to participate in Snowflake’s bonus and equity plan

SQL

Java

Redis

Cassandra

C++

DynamoDB

Expert level

San Francisco Bay Area

3-5 days a week in office (San Mateo, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

10+ years hands-on software engineering experience in distributed stateful systems, databases or other relevant fields
Significant background in database internals or building core components for data processing systems (query compilation, query execution, storage engines, transaction processing, autonomous tuning and workload optimization)
Strong database fundamentals including SQL, performance and schema design
Strong systems fundamentals including multi-threading, IO subsystem and scheduling
Strong CS fundamentals including data structures, algorithms, and distributed systems
Systems programming skills including multi-threading, concurrency, etc. Fluency in C++, C, or Java preferred
Experience with one or more of the following a plus:
Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.)
Scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, Cassandra, etc
Advanced Analytics systems (e.g. Time-Series, Complex Event Processing, Forecasting, etc.)
Distributed systems experience (Consensus protocols, Replication)
Track record of identifying problems, solutions and delivering highly complex projects in distributed systems or databases
BS in Computer Science; Masters or PhD Preferred

What the job involves

In this role at Snowflake you will build new database technology from the ground up
Our future goal is for customers to use our service for all of their database workload needs, as easily as they use the Snowflake data warehouse today
Join us to design and build the next generation database systems technology that will power Snowflake's ground-breaking Data Cloud!
To make the data cloud a reality our team is working on expanding the addressable database workloads of the Snowflake platform
Our long-term vision is to enable our customers to use Snowflake for any database workload with predictable performance and high efficiency
We are looking for a Principal Engineer to provide technical leadership to our world class team and in this role is a unique opportunity to make a significant impact on our elastic, large scale, high-performance computing environment. Be part of the vision to create the best data platform
Maintain technical ownership and ensure concise collaboration with the technical leadership of other major parts of Snowflake
Set the technical direction for the team and help guide the engineering vision
Architect critical systems and anticipate strategic challenges and opportunities in key areas such as query processing, transaction management or distributed data processing algorithms
Design, develop, and support highly-parallel and fault-tolerant database systems
Own the production rollout of the features of your area while at the same time leveraging and growing other strong engineering talent in your team
Evaluate and determine priorities with a critical understanding of where performance matters most
Analyze and understand performance and scalability bottlenecks in the system and solve them
Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions
Represent your area to Snowflake’s customers as a technical expert
Influence the industry by participating in conferences and technical forums

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 organizations 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

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

Bozeman, MT

Leadership

Benoit Dageville

(Co-Founder)

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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