Account Engineer — AI Cloud Adoption & Growth

Snowflake

New York (NY)

In loco

USD 138.000 - 181.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Snowflake is seeking an Account Engineer in the United States to accelerate customer adoption of the Snowflake AI Data Cloud. You will serve as the technical partner, driving initial utilization, guiding use-case activations, and delivering scalable, AI-powered solutions with hands-on cloud data expertise.

You will own customer outcomes, advise on data strategy, integrate tech stacks, and collaborate with multiple teams to ensure fast, reliable deployments and value realization for new and

Competenze

  • Hands-on experience with SQL required.
  • Strong understanding of data architecture and analytics on cloud platforms (AWS, Azure, Google Cloud).
  • Desire to learn and grow technical skills and become Snowflake platform expert.
  • Excellent written and verbal communication to convey technical concepts clearly.

Mansioni

  • Accelerate time-to-value for new and early-stage customers.
  • Own the technical success and consumption trajectory within your portfolio.
  • Provide strategic guidance on data strategy, technology stack integration, and use case activation.
  • Deliver technical value using AI-powered development tools and automation.
  • Collaborate cross-functionally with Account Team, Professional Services, and Support.

Conoscenze

SQL
Cloud data architecture
Communication skills
Project management
Growth mindset
Data analytics
AI tooling

Formazione

University degree in computer science / engineering / mathematics

Strumenti

Python
Java
Scala
CI/CD tooling
Orchestration tools

Descrizione del lavoro

Snowflake is seeking an Account Engineer in the United States to accelerate customer adoption of the Snowflake AI Data Cloud. You will serve as the technical partner, driving initial utilization, guiding use-case activations, and delivering scalable, AI-powered solutions with hands-on cloud data expertise.

You will own customer outcomes, advise on data strategy, integrate tech stacks, and collaborate with multiple teams to ensure fast, reliable deployments and value realization for new and

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