Senior Solution Engineer, Financial Services

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $165k - $216.6k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• Solve customers’ complex problems and support closing large deals • Work directly with sales teams and channel partners to understand customer needs • Strategize on winning sales cycles • Provide value-based demonstrations • Support enterprise Proofs of Concept • Present Snowflake technology and vision to executives and technical contributors • Demonstrate and communicate Snowflake technology value throughout the sales cycle, from demo through proof of concept, design, and implementation • Maintain deep knowledge of competitive and complementary technologies and vendors • Position Snowflake relative to competitive and complementary technologies • Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing • Act as a technical and visionary thought partner for customers navigating AI • Travel approximately 30%

🎯 Requirements

• 5–7+ years of industry experience, with a minimum of 5 years in a pre-sales environment • Outstanding presenting skills for technical and executive audiences • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud • Proactive curiosity for the AI landscape • Ability to leverage AI code generation tools • Broad experience with large-scale database and/or data warehouse technology, ETL, analytics, and cloud technologies • Experience with Data Lake, Data Mesh, or Data Fabric • Hands-on expertise with SQL, SQL analytics, and Python • Ability to connect customer business problems with Snowflake solutions • Ability to deeply discover customer architecture frameworks and connect them with Snowflake Data Architecture • Approximately 30% travel • University degree in computer science, engineering, mathematics, or related fields, or equivalent experience preferred • Master's in Data Science or Business Administration is a plus • Experience with GSIs such as EY, Deloitte, or Accenture beneficial but not required • Compliance with Snowflake confidentiality and security standards • Ability to keep customer information secure and confidential

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • At least 12 paid holidays • Paid time off • Parental leave • Employee assistance program • Competitive benefits package • Commission plan • Equity plan