10 hours ago

Solution Engineer

Snowflake

Hybrid
Full Time
$210,000
Hybrid

Job Overview

Job TitleSolution Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$210,000
LocationHybrid

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Job Description

About Snowflake

Snowflake empowers enterprises and individuals to achieve their full potential. With a culture deeply committed to impact, innovation, and collaboration, Snowflake offers an environment ideal for significant growth, rapid development, and advancing technology and careers.

The Solution Engineer Role

As a Solution Engineer at Snowflake, you will be instrumental in solving customers' most complex problems and driving large deals. You will collaborate directly with the sales team and channel partners, understanding customer needs, strategizing winning sales cycles, delivering compelling value-based demonstrations, supporting enterprise Proof of Concepts (POCs), and ultimately closing business.

We seek individuals passionate about revolutionizing the database space, who thrive in dynamic environments, and are flexible and proactive. You should be adept at navigating both business and technical contexts, comfortably engaging with executives and technical audiences alike.

Key Responsibilities

  • Present Snowflake technology and vision to executives and technical contributors at prospective and existing customers.
  • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, including demos, proof of concepts, design, and implementation.
  • Maintain a deep understanding of the evolving industry, competitive and complementary technologies, and how to effectively position Snowflake.
  • Collaborate with Product Management, Engineering, and Marketing teams to continuously enhance Snowflake’s products and marketing efforts.

Required Qualifications

  • 4-7 years of industry experience, with a minimum of 3 years in a pre-sales environment.
  • Outstanding presentation skills for both technical and executive audiences, whether impromptu or using formal presentations and demos.
  • 2+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • Broad experience with large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric).
  • Hands-on expertise with SQL, SQL analytics, and Python.
  • Ability to connect specific customer business problems with Snowflake’s solutions.
  • Adept at deep discovery of customer architecture frameworks and aligning them with Snowflake Data Architecture.
  • University degree in computer science, engineering, mathematics, or related fields, or equivalent experience preferred. A Master's in Data Science or Business Administration is a plus.
  • Experience with Global System Integrators (GSIs) such as EY, Deloitte, Accenture, etc., is beneficial but not required.
  • Ability to travel approximately 30% of the time.

Our Team

Our Solution Engineers are customer-obsessed, believe in the value we add, and maintain honesty. We are passionate about continuous learning, open to feedback, and dedicated to client success. Our team strives to make data accessible, usable, and valuable to everyone.

Key skills/competency

  • Solution Engineering
  • Pre-sales
  • Customer Engagement
  • Data Warehousing
  • Cloud Technologies
  • SQL
  • Python
  • Machine Learning
  • Generative AI
  • Technical Presentations

Tags:

Solution Engineer
Solution Engineering
Pre-sales
Technical Sales
Customer Engagement
Data Architecture
Value Demonstration
Proof of Concept
Cloud Solutions
Client Success
Sales Support
Snowflake
SQL
Python
Data Warehousing
Cloud Technologies
ETL
Machine Learning
Generative AI
Data Lake
Data Fabric

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How to Get Hired at Snowflake

  • Research Snowflake's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your Solution Engineer resume: Highlight pre-sales experience, cloud data expertise, ML/AI projects, and customer success stories using keywords like "data warehousing," "SQL," "Python," "cloud solutions," and "generative AI."
  • Showcase your technical prowess: Be prepared to discuss your hands-on experience with SQL, Python, and cloud data architectures, demonstrating problem-solving abilities.
  • Prepare for value-based demonstrations: Practice presenting complex technical concepts clearly to both executive and technical audiences, focusing on business impact and Snowflake's unique value.
  • Network effectively: Connect with current Snowflake Solution Engineers on LinkedIn to gain insights and potentially secure a referral, which can significantly boost your application.

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