Senior Solution Engineer, Financial Services

Snowflake
New York
Workplace: RemoteFull timeUSD 165,000 - 216,562 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Presenting","Customer focus","Strategic thinking","Experimentation mindset","Collaboration"]

Own complex customer problems and support the full Snowflake sales cycle for enterprise prospects in Financial Services. Partner with sales and channel partners to strategize winning deals, deliver value-based demos, and support proof of concepts through design and implementation. Build deep product, database, and data-architecture expertise, stay current on competitive technologies, and collaborate with Product, Engineering, and Marketing to improve Snowflake’s offerings.

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Snowflake
Snowflake
2 days ago

Senior Solution Engineer, Financial Services

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Own complex customer problems and support the full Snowflake sales cycle for enterprise prospects in Financial Services. Partner with sales and channel partners to strategize winning deals, deliver value-based demos, and support proof of concepts through design and implementation. Build deep product, database, and data-architecture expertise, stay current on competitive technologies, and collaborate with Product, Engineering, and Marketing to improve Snowflake’s offerings.
Location: New York
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Present Snowflake technology and vision to executives and technical contributors throughout the sales cycle.
  • •Work hands-on with prospects and customers to demonstrate Snowflake value from demo through proof of concept and design/implementation.
  • •Maintain deep knowledge of competitive/complementary technologies and position Snowflake effectively.
  • •Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
  • •Conduct deep discovery of customer architecture frameworks and map them to Snowflake data architecture.
Travel: Medium travel

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

  • •5-7+ years of industry experience with at least 5 years in a pre-sales environment.
  • •Demonstrated presenting skills for both technical and executive audiences, including impromptu demos.
  • •5+ years building and deploying machine learning and generative AI solutions in the cloud.
  • •Hands-on expertise with SQL/SQL analytics and Python.
  • •Experience with large-scale database and/or data warehouse technology, including ETL and analytics; examples include Data Lake, Data Mesh, or Data Fabric.
Experience:5+ yearsPre-salesFinancial ServicesMachine learningGenerative AIData warehouseETL
Education:Bachelor's
Skills:PresentingCustomer focusStrategic thinkingExperimentation mindsetCollaboration
Tech Stack:SQLSQL analyticsPythonMachine learningGenerative AICloudData lakeData meshData fabricETLData warehouseAnalytics

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn