Snowflake
Senior Solution Engineer
$165K–$288K
US-NY-New York · Senior · Full-time · Posted Aug 10, 2026
- Experience
- 7–8 years of industry experience, with a minimum of 5 years in a pre-sales or solutions architecture role focused on data platforms.
- Education
- University degree in computer science, data science, engineering, mathematics or a related field, or equivalent practical experience.
About the job
Partners with sales teams and customers to discover data needs, design Snowflake architectures, deliver demonstrations and proofs of concept, and connect data solutions to measurable business outcomes.
What you'll do
- Present Snowflake’s Data Cloud vision and lead technical discovery of customer data architectures.
- Build tailored demonstrations and proofs of concept spanning data engineering, AI/ML, and data sharing.
- Advise on modern data architecture and translate business problems into Snowflake solutions.
What they ask for
- 7–8 years of industry experience, including at least 5 years in pre-sales or solutions architecture focused on data platforms.
- Hands-on expertise with SQL, Python, and cloud data warehouse or data lakehouse architectures.
- Experience with modern data platforms and tools, AI/ML in data platforms, and data architecture discovery.
- University degree in a related field or equivalent practical experience.
Nice to have
- Master’s in Data Science or Business Analytics.
- Experience working with GSIs on large data platform programs.
Pay
$220,000 - $288,000 USD total pay (OTE); $165,000 – $216,562 USD (type not stated)
Tools
SQL, Python, Snowpark, Dynamic Tables, Snowpipe, Cortex AI, Kafka, Airflow
AI focus
Positions AI/ML capabilities in data platforms, including feature stores, model training pipelines, LLM-powered applications, and AI governance; uses AI code generation tools to accelerate prototyping and proofs of concept.
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