Solution Engineer

Snowflake
Colombia
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Presenting","Communication","Translating complex concepts","Collaboration","Experimental mindset","Low-ego mindset"]

Drive complex customer opportunities end-to-end by partnering with sales and channel teams to understand needs, navigate winning sales cycles, and deliver value-based technical demonstrations. Support enterprise proof of concepts and articulate how Snowflake powers rapid AI innovation. Collaborate with Product and Engineering using field insights on customer data platform and activation requirements, helping customers modernize their data stack for analytics, generative AI, and machine learning.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Snowflake
Snowflake
14 hours ago

Solution Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Drive complex customer opportunities end-to-end by partnering with sales and channel teams to understand needs, navigate winning sales cycles, and deliver value-based technical demonstrations. Support enterprise proof of concepts and articulate how Snowflake powers rapid AI innovation. Collaborate with Product and Engineering using field insights on customer data platform and activation requirements, helping customers modernize their data stack for analytics, generative AI, and machine learning.
Location: Colombia
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Present Snowflake’s technology and vision to executives and technical contributors, focusing on Snowflake as the engine for rapid AI innovation.
  • •Work hands-on with prospects to demonstrate Snowflake value across the sales cycle, moving from interest to value-driven insights and outcomes.
  • •Maintain deep knowledge of analytics, generative AI, LLMs, and competitive technologies to position Snowflake as the easiest enterprise path.
  • •Collaborate with Product and Engineering to share field insights on customer data platform and activation requirements to improve the platform.
  • •Support enterprise proof of concepts and lead product-fit conversations in both business and technical contexts.

Key Requirements

  • •Proven success positioning data solutions to enable rapid Analytics and AI adoption, from raw data to actionable analytics and AI/ML capabilities.
  • •Real-world experience with one or more: Databricks, Microsoft Fabric, Cloudera, BigQuery, and analytics open source such as Spark, Trino, Cassandra, or Hive.
  • •Outstanding presenting skills for both technical and executive audiences, translating complex data concepts into business value.
  • •Broad experience with large-scale database/data warehouse technologies, ETL, and modern AI/ML frameworks.
  • •Hands-on expertise with SQL (Python or R experience is a plus) and a university degree in Computer Science, Engineering, Mathematics, or equivalent experience.
Experience:AIAnalyticsMachine learningData warehouseETLOpen source
Education:Bachelor's in Computer Science, Engineering, or Mathematics
Skills:PresentingCommunicationTranslating complex conceptsCollaborationExperimental mindsetLow-ego mindset
Tech Stack:SnowflakeSQLPythonRDatabricksMicrosoft FabricClouderaBigQuerySparkTrinoCassandraHiveGenerative AILLMsAI AgentsETLData WarehouseData Cloud

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