Senior Solution Engineer, Snowflake

$220-288.8k

OTE

$165-216.6k

BASE

Additionally, this role is eligible to participate in Snowflake’s equity plan

SQL

Python

Snowflake

Senior level

Austin

Remote from US

More information about location

AI Data Cloud for data sharing and app building

Job no longer available

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Job no longer available

$220-288.8k

OTE

$165-216.6k

BASE

Additionally, this role is eligible to participate in Snowflake’s equity plan

SQL

Python

Snowflake

Senior level

Austin

Remote from US

More information about location

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals
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
7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
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
Hands-on expertise with SQL,SQL analytics, and Python
Ability to connect a customer’s specific business problems and Snowflake’s solutions
Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus
Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required

What the job involves

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
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, from 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

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

SERIES G

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

Comprehensive health insurance plans
Health savings accounts
Robust retirement plans
Life and disability insurance
Weekly online lunch and learns
Virtual workout classes
Ergonomic work-from-home equipment
On-demand mental health and wellness programs
Fertility benefits and family planning resources
Generous time-off and various leave plans
Onsite and Remote Work
Employee discounts and pre-tax selections
New hire equity + Employee Stock Purchase Plan (ESPP)
Quarterly bonus or commission program

Company HQ

Menlo Park, CA

Leadership

Benoit Dageville

(Co-Founder & President of Product)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

Sridhar Ramaswamy

(Chief Executive Officer)

Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.

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