Senior Software Engineer, Snowflake

Data Lake

Salary not provided

+ Bonus plan + Equity plan

AWS

GCP

Java

C++

Azure

Spark

Flink

Hive

Parquet

Senior and Expert level

San Francisco Bay Area

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

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Job no longer available

Salary not provided

+ Bonus plan + Equity plan

AWS

GCP

Java

C++

Azure

Spark

Flink

Hive

Parquet

Senior and 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

8+ years of hands-on experience in large scale data intensive distributed systems, especially in distributed file systems, object storage, data warehouse, data lake, data analytics, and data platform infrastructure
Strong development skills in Java and C++
An active PMC (Program Management Committee) or Committer to open source like Apache Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, and Avro
Proven track record of leading and delivering large and complex big data projects across organizations
A growth mindset and excitement about breaking the status quo by seeking innovative solutions
An excellent team player who is consistent in making everyone around you better
Experience with public clouds (AWS, Azure, GCP) is a plus
BS/MS in Computer Science or related major, or equivalent experience

What the job involves

The Snowflake Data Lake team’s mission is to power open standards with Snowflake innovation
Our customers want to bring more data to Snowflake to support their variety of data lake use cases with large data sets but face the common challenges of control, cost, and interoperability
This team aims to address these challenges and enable customers to benefit from Snowflake’s rich features and integrated platform capabilities while embracing their choice of open table standards (e.g., Apache Iceberg), file formats (e.g.,Apache Parquet), storage solutions, and third-party open source tool set (e.g.,Apache Spark)
We’re on the early journey to build the best data lake solutions for any workload at scale
We are seeking talented Senior Software Engineers who are technical leaders in the big data open source community to join us to define the strategy, engage and deliver innovation into the open source community, and bring Snowflake to millions of big data professionals
Understand customer requirements and define product strategies
Design, develop, and operate highly reliable large scale data lake systems
Embrace Snowflake innovations with open source standards and tool sets
Be an active influencer for the direction of open source standards
Partner closely with Product teams to understand requirements and design cutting edge new capabilities that go directly into customer’s hands
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them
Ensure operational excellence of the services and meet the commitments to our customers regarding reliability, availability, and performance

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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