Senior Solution Engineer, Financial Services

🕒 vor 1 Monat

🗽 New York – Remote

🗽 New York – Remote

💵 $165.000 - $216.562 / Jahr

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Snowflake

WebsiteLinkedInAlle Stellen

5001 - 10000 Mitarbeiter

Gegründet 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

Snowflake ist ein Cloud-basiertes Data-Warehousing-Unternehmen, das eine innovative Plattform für Datenspeicherung, -verarbeitung und Analytics bereitstellt. Es ermöglicht Organisationen, große Datenmengen effizient zu handhaben und so Insights und Business Intelligence zu gewinnen. Die Architektur von Snowflake unterstützt unterschiedlichste Data-Workloads und ist damit eine vielseitige Lösung für Unternehmen, die ihre Daten für strategische Entscheidungen nutzen möchten.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

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