Senior Solution Engineer

Responsibilities

• Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders.
• Lead technical discovery of customer data architectures, including pipelines, warehouses, lakehouses, and governance gaps.
• Design Snowflake-native solutions and modern architecture patterns, including Data Mesh, Data Lakehouse, real-time streaming, and unified governance.
• Build and deliver tailored demonstrations and proof-of-concept projects across data engineering, AI/ML, and data sharing capabilities.
• Translate business problems such as churn prediction, supply chain visibility, financial consolidation, and operational analytics into data solutions.
• Partner with sales teams, channel partners, Product Management, Engineering, and Field teams throughout sales cycles and product-roadmap feedback.
• Quantify business value through cost reduction, time-to-insight, pipeline reliability, and data product monetization.

Requirements

• 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 ETL/ELT, streaming, orchestration, business intelligence, and cloud infrastructure technologies.
• Experience conducting data architecture discovery and connecting findings to reference architectures.
• Experience positioning AI and ML capabilities within data platforms, 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.
• Demonstrated ability to use AI code-generation tools to accelerate prototyping and proof-of-concept delivery.
• Bachelor's degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.

Nice to Have

• 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.

Compensation & Benefits

• $220,000–$288,000 OTE, including base salary and commission/quota.
• Competitive base salary, variable compensation, equity, 401(k), health, dental and vision insurance, flexible PTO, and a professional development budget.