Senior Solution Engineer, Financial Services

🕒 il y a 1 mois

🗽 New York – Distant

🗽 New York – Remote

💵 $165 000 - $216 562 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

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Snowflake

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

Snowflake est une entreprise de stockage de données basée sur le cloud qui offre une plateforme innovante pour le stockage, le traitement et l'analyse de données. Elle permet aux organisations de gérer efficacement de grands volumes de données, facilitant ainsi la génération d'insights et l'intelligence économique. L'architecture de Snowflake prend en charge diverses charges de travail de données, ce qui en fait une solution polyvalente pour les entreprises cherchant à exploiter leurs données pour prendre des décisions stratégiques.

Description

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

🎯 Exigences

• 5-7+ years of industry experience with a minimum of 5 years within a pre-sales environment • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. • Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space. • A proven ability to leverage AI code generation tools to accelerate productivity and efficiency. • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric • Hands-on expertise with SQL, SQL analytics, and Python. • Ability to connect a customer’s specific business problems and Snowflake’s solutions • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus. • Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required. • Expect approximately 30% travel.

🏖️ Avantages

• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.