Senior Solution Engineer, Financial Services

🕒 Abril 15

🗽 New York – Remoto

🗽 New York – Remote

💵 $165.000 - $216.562 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Snowflake

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

A Snowflake é uma empresa de data warehousing em nuvem que oferece uma plataforma inovadora para armazenamento, processamento e analytics de dados. Ela permite que as organizações lidem com grandes volumes de dados de forma eficiente, facilitando insights e Business Intelligence. A arquitetura da Snowflake suporta diversas cargas de trabalho de dados, tornando-a uma solução versátil para empresas que buscam alavancar seus dados na tomada de decisões estratégicas.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

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