Solution Engineer

🕒 September 11

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• Present Snowflake technology and vision to executives and technical contributors, focusing on Snowflake as an engine for rapid AI innovation • Work hands-on with prospects throughout the sales cycle to demonstrate Snowflake's value and drive business outcomes • Maintain deep knowledge of Analytics, Generative AI, LLMs, and competitive technologies • Position Snowflake as an easy path to enterprise Analytics and AI adoption • Collaborate with Product and Engineering to share customer data platform and activation insights • Work with sales teams and channel partners to understand customer needs and navigate winning sales cycles • Provide value-based demonstrations, product-fit discussions, and support enterprise Proofs of Concept

🎯 Requirements

• Proven success positioning data solutions to enable rapid Analytics and AI adoption, showing customers a clear path from raw data to actionable analytics, AI Agents, and machine learning models • Real-world experience with one or more of Databricks, Microsoft Fabric, Cloudera, BigQuery, Spark, Trino, Cassandra, Hive, or other analytics open-source projects • Outstanding presenting skills for technical and executive audiences, translating complex data concepts into business value • Broad experience with large-scale database/data warehouse technology, ETL, and modern AI/ML frameworks • Hands-on expertise with SQL and SQL analytics • University degree in Computer Science, Engineering, Mathematics, or equivalent experience • Python or R experience for data science is a plus