
The Data Cloud.
Senior Solution Engineer
必須スキル
SQL
Python
Presenting
Machine Learning
Generative AI
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.
We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.
As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
IN THIS ROLE YOU WILL GET TO:
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Present Snowflake technology and vision to executives and technical contributors at prospects and customers
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Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
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Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
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Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
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7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
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Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
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5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
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Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
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Hands-on expertise with SQL,SQL analytics, and Python.
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Ability to connect a customer’s specific business problems and Snowflake’s solutions
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Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
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University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus.
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Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
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Expect approximately 30% travel
ABOUT OUR TEAM:
Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone.
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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Snowflakeについて

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
従業員数
Zürich
本社所在地
$70B
企業価値
レビュー
10件のレビュー
3.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
4.2
キャリア
3.2
経営陣
3.1
72%
知人への推奨率
良い点
Innovative/cutting-edge technology
Supportive team and colleagues
Great learning opportunities and training programs
改善点
Fast-paced/overwhelming environment
Heavy workload and long hours
High pressure to perform
給与レンジ
2,067件のデータ
Senior/L5
Senior/L5 · CONSULTING MANAGER
1件のレポート
$223,593
年収総額
基本給
$171,995
ストック
-
ボーナス
-
$223,593
$223,593
面接レビュー
レビュー6件
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Online Assessment
3
Technical Phone Screen
4
Technical Interview
5
Final Interview Round
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
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