Jobs
Benefits & Perks
•Flexible work arrangements
•Team events and activities
•Parental leave
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Parental Leave
•Learning
•Healthcare
Required Skills
Python
JavaScript
Node.js
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.
Our Solution Engineering organization is seeking a Senior Data Platform Architect, Applied Field Engineering with an emphasis on data collaboration. This position will provide hands-on expertise and support while working with technical decision makers to design and architect Data Collaboration solutions built on the Snowflake Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s Collaboration solutions.
IN THIS ROLE YOU WILL GET TO:
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Be the technical expert in the room that positions Snowflake’s Collaboration features and value to technical stakeholders at Snowflake’s customers across the Americas.
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Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
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Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
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Influence, tailor and maintain Solution Engineering Collaboration selling assets, including customer presentations, demonstrations, and customer stories.
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
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5+ years Data architecture experience
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Understanding of how companies share data today
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Curiosity and drive to help companies leverage the Snowflake Data Cloud
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Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
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Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
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Hands on experience with building a listing on Snowflake Marketplace and/or Direct Data Sharing
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1+ years of practical Snowflake experience.
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Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
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
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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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