Senior Solution Engineer

Highlights

• Present Data Cloud vision to data leaders and executive stakeholders.
• Lead technical discovery to design Snowflake-native paths forward.
• Translate ambiguous business problems into concrete data solutions.

What they offer

• Equity
• 401(k)
• Health, dental and vision coverage
• Flexible PTO
• Professional development budget

Ideal candidate

Customer-obsessed data practitioner with 7-8 years experience who thrives at the intersection of data, AI and enterprise architecture and loves proving strong architecture opinions with working code.

Requirements

• 7–8 years industry experience with minimum 5 years in pre-sales or solutions architecture focused on data platforms
• Deep hands-on expertise with SQL, Python and cloud data warehouse / lakehouse architectures with ability to write working code live
• Broad experience across modern data stack including ETL/ELT, streaming, orchestration, BI tools and AWS, Azure, GCP
• Proven ability to conduct deep data architecture discovery and map findings to Snowflake reference architecture
• Experience positioning AI and ML capabilities including feature stores, training pipelines, LLM apps and AI governance
• Strong intuition for data governance, quality and compliance challenges such as GDPR, CCPA, PCI
• Ability to quantify business value of modern data architecture across cost, time-to-insight and reliability