Snowflake

Senior Solution Engineer

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Job Type: Solution Engineer
  • Salary: (Salary not provided in the text)

Description: Join the Snowflake team and build the future of the AI Data Cloud. We are looking for a Senior Solution Engineer to solve complex customer problems and close large deals. You will work directly with the sales team and channel partners to understand customer needs, strategize winning sales cycles, provide compelling demonstrations, support Proof of Concepts, and ultimately close business. This role requires a passion for reinventing the database space, thriving in a dynamic environment, and being flexible and willing to jump in and get things done. You should be comfortable in both business and technical contexts, interacting with executives and talking shop with technical audiences.

Requirements

  • Experience:
    • 7-8 years of industry experience.
    • Minimum of 5 years in a pre-sales environment.
  • Technical Skills:
    • Broad range of experience within 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 and SQL analytics.
    • Proficiency in Python.
  • Presentation Skills: Outstanding presenting skills to both technical and executive audiences, both impromptu and using presentations/demos.
  • Problem-Solving: Ability to connect a customer’s specific business problems and Snowflake’s solutions.
  • Architectural Understanding: Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
  • Education:
    • University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
    • Master’s degree in Data Science or Business Administration is a plus.
  • GSI Experience: Experience with Global System Integrators (GSIs) like EY, Deloitte, Accenture, etc., is beneficial but not required.

Responsibilities

  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
  • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle (demo to proof of concept to design and implementation).
  • 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.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Application Instructions

  • (Application instructions not provided in the text)

Company Information

About Snowflake: Snowflake is growing fast and scaling its team to help enable and accelerate growth. We are passionate about our people, our customers, our values, and our success.

About Our Team: Our Solution Engineers are customer-obsessed and believe in the value we can add and are 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.

Skills

SQL
SQL analytics
Python
Data Warehouse
Data Lake
Data Mesh
Data Fabric
ETL
Analytics
Cloud Technologies
Presenting Skills
Problem-Solving
Architectural Understanding

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.
Increased competition from Mistral AI could challenge Snowflake's market position.
Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.
The AI Data Cloud enables near-unlimited scale and performance for data mobilization.
Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.
Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.
Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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