Senior Manager of Data Engineering / Data Lake, Snowflake

Platform Specialist

$191-273k

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

Snowflake

Expert level

Remote from US

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

$191-273k

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

Snowflake

Expert level

Remote from US

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

10-15 years of sales or sales engineering experience with an expertise in the data engineering and data lake space
4+ years of experience in a customer facing role within the Snowflake ecosystem, Snowflake experience being highly preferred
Deep understanding of the modern data stack ecosystem and ability to differentiate Snowflake compared with the competitive landscape
Self-starter who can independently manage time and develop internal/external relationships
Proactive, independent thinker with high energy/positive attitude
Excellent verbal and written communication, presentation, and relationship management skills

What the job involves

Snowflake’s Data Cloud team is actively seeking a Senior Manager, Data Engineering and Data Lake Sales Strategy to join our growing team
In this role you will act as a player-coach you will act as a thought leaders to drive strategic customer outcomes and value realization within Data Engineering and Data Lake workload areas across all global theaters
Apply your deep understanding of Snowflake's platform capabilities in the Data Engineering and Data Lake workload areas, and ability to translate new platform capabilities into sales strategies and value propositions
Manage a team of industry experts, hiring, onboarding and supporting their success
Work with account teams to develop customer-specific strategies for achieving technical wins and successful migrations of strategic Data Engineering and Data Lake workloads in
Collaborate with Account Executives to build specific messaging and content to engage customers based on account-specific strategies for Data Engineering and Data Lake use cases
Lead early engagement with key customer personas around Snowflake’s Data Engineering and Data Lake capabilities and the value hypothesis for migrating use cases pertaining to these workloads to the Snowflake platform
Partner with our Field CTO organization to plan and execute validation exercises (ie. Pilots/POCs) to achieve technical wins for migrating Data Engineering and Data Lake use cases to the Snowflake platform
Work with cross-functional teams including sales engineering, professional services and industry specialists to lead and support internal account team enablement efforts around effective Data Engineering and Data Lake sales strategies and tactics

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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