Senior Solution Engineer

Snowflake • Remote, NC

2d • $165,000 - $216,562

About The Position

Snowflake is seeking a Senior Solution Engineer who works at the intersection of data, AI, and enterprise architecture. The role partners with sales teams and channel partners to understand customer data challenges, develop sales strategies, deliver data-driven demonstrations, and support enterprise Proofs of Concept that demonstrate measurable business outcomes. The position is based in North Carolina or South Carolina.

The Solution Engineer presents Snowflake’s Data Cloud vision and helps customers assess their existing data architectures and design paths forward using Snowflake. The role involves hands-on technical discovery, building tailored demonstrations and proofs of concept across Snowflake’s data platform, guiding customers on modern data architecture patterns, and translating business challenges into data solutions. The engineer also shares customer architecture patterns with Product Management, Engineering, and Field teams to inform the product roadmap.

Requirements

• 3–8 years of industry experience in a pre-sales or solutions architecture role focused on data platforms.
• Deep hands-on expertise with SQL, Python, and cloud data warehouse or data lakehouse architectures, including the ability to write working code in customer sessions.
• Broad experience with the modern data stack, including ETL/ELT tools, streaming platforms, orchestration, BI tools, and cloud infrastructure.
• Experience conducting data architecture discovery and connecting findings to a Snowflake reference architecture.
• Experience positioning AI and ML capabilities within a data platform context, including feature stores, model training pipelines, LLM-powered applications, and AI governance.
• Strong understanding of data governance, quality, and compliance challenges, including GDPR, CCPA, and PCI.
• Ability to quantify the business value of modern data architecture, such as cost reduction, time-to-insight, pipeline reliability, and data product monetization.
• Demonstrated track record using AI code-generation tools to accelerate prototyping and proof-of-concept delivery.
• University degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.
• Must be located in North Carolina or South Carolina.

Nice To Haves

• Master's degree in Data Science or Business Analytics.
• Experience working with GSIs such as EY, Deloitte, Accenture, or Slalom on large data platform programs.

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 of customers' existing data architectures and design Snowflake-native paths forward.
• Build and deliver tailored demonstrations and proofs of concept across Snowflake's data engineering, AI/ML, and data-sharing capabilities.
• Guide customers through modern data architecture patterns, including Data Mesh, Data Lakehouse, real-time streaming pipelines, and unified governance frameworks.
• Translate business problems into concrete Snowflake data solutions.
• Partner with Product Management, Engineering, and Field teams to share customer data architecture patterns and inform the product roadmap.

Benefits

• Competitive base salary
• Variable compensation
• Equity
• 401(k)
• Health, dental, and vision benefits
• Flexible PTO
• Professional development budget

What This Job Offers

• Job Type: Full-time
• Career Level: Senior