Senior Solution Engineer, Observe

US-NY-New YorkcontractOn SiteseniorH1B: yes

Snowflake Senior Solution Engineer at Snowflake works at the intersection of data, AI, and enterprise architecture to support sales and deliver data-driven demonstrations. The role involves designing Snowflake-native data architectures and supporting enterprise Proof of Concepts.

Responsibilities

Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers
Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward
Build and deliver tailored demos and proof of concepts across Snowflake's full data platform: data engineering (Snowpark, Dynamic Tables, Snowpipe), AI/ML (Cortex AI, ML model registry), and data sharing (Data Clean Rooms, Marketplace listings)
Guide customers through modern data architecture patterns including Data Mesh, Data Lakehouse, real-time streaming pipelines, and unified governance frameworks
Translate ambiguous business problems — churn prediction, supply chain visibility, financial consolidation, operational analytics — into concrete Snowflake data solutions
Partner with Product Management, Engineering, and Field teams to feed customer data architecture patterns back into the product roadmap
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
7–8 years of industry experience, with a minimum of 5 years in a pre-sales or solutions architecture role focused on data platforms

Qualification

Bachelor’s degree in Computer ScienceExperience selling to DeveloperPrior experience in a fast-pacedSnowflake is growing fastHow do you want to make your impact?For jobs located in the United States

Required

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years of experience as a Sales Engineer or Solutions Architect in the software industry.
Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack).