Jobs
Required Skills
Java or Scala or C++
Distributed systems
Cloud applications
Distributed transaction processing
Concurrency control
Query engines
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
The Internal Collaboration team builds software to share data, apps, and AI models across different business units, regions, and clouds within a single organization—without moving or copying the data. The team builds the Internal Marketplace https://www.snowflake.com/en/product/use-cases/internal-marketplace/ https://www.snowflake.com/data-marketplace/as a data product storefront for our users.
AS A SENIOR SOFTWARE ENGINEER - INTERNAL COLLABORATION YOU WILL:
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Lead highly impactful initiatives around Snowflake Data Collaboration and Internal Marketplace
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Innovate and build highly secured and reliable software to allow customers to be data-driven.
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Architect and build systems that enable our customers to manage every critical aspect of the data product lifecycle, including curation, discovery, governance, policy configurations, certification, publishing, observability.
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Design and implement highly available distributed platforms within the global Snowflake.
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Revolutionize how organizations distribute, consume, and use data as a strategic business asset.
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Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance.
OUR IDEAL SENIOR SOFTWARE ENGINEER - SHARING FOUNDATIONS, WILL HAVE:
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7+ years industry experience designing, building and supporting large-scale applications and distributed systems in production.
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Strong programming skills in Java, Scala, or C++ with an emphasis on performance and reliability.
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Experience with AI-driven/first software development
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Experience building cloud applications and working with public cloud providers like AWS, Azure, or GCP.
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Deep understanding of distributed transaction processing, concurrency control, and high-performance query engines.
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Familiarity with Marketplace applications and product lifecycle management
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Familiarity with data governance, security, and access control models in distributed data systems.
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BS/MS/PhD in Computer Science or related majors, or equivalent experience.
ABOUT INTERNAL COLLABORATION:
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Learn more about Snowflake Internal Marketplace https://www.snowflake.com/en/product/use-cases/internal-marketplace/:
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Learn more about Snowflake Applications and Collaboration https://www.snowflake.com/en/product/applications-and-collaboration/
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Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake 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.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
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About Snowflake

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
Employees
Zürich
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Positive performance reviews and raises
Opportunities to learn new technical skills
Career advancement with promotion
Cons
Role demotion after acquisition
Poor communication regarding promotions
Administrative inefficiencies with title updates
Salary Ranges
3,987 data points
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
277 reports
$252,858
total / year
Base
$171,306
Stock
$57,741
Bonus
$23,811
$190,229
$354,557
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 88%
Negative 12%
Interview Process
1
Application Review
2
Resume Screening
3
Initial Phone Screen
4
Technical Phone Screen
5
Technical Coding Round
6
Offer Discussion
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
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