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Activation Solution Engineer

Snowflake · AU-Melbourne · AU-Sydney

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At a glance

Highlights

  • Accelerate new customers from acquisition to rapid value on Snowflake AI Data Cloud.
  • Serve as trusted technical partner driving early use cases to production.
  • Create hands-on labs and represent Snowflake at workshops and events.

Ideal candidate

AI-native, low-ego builder energized by fast-moving customer work. You love owning early-stage accounts end-to-end and using AI tools to accelerate impact and redefine how work gets done.

Requirements

  • 8 years experience in data technologies
  • Strong competency in modern data stacks, ETL/ELT, warehouse/lake, Gen AI and Data Apps
  • Advanced proficiency in Python and SQL, plus Spark, PySpark and dbt experience
  • Foundational understanding of AWS, Azure and Google Cloud concepts
  • Excellent written and verbal communication for diverse audiences
  • Ability to manage multiple projects to agreed timelines
  • Degree in computer science, engineering, mathematics or equivalent experience

Lab profile

About Snowflake

Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.

What they build

  • Snowflake Data Cloud
  • Data warehousing and data lakes
  • Snowpark developer framework

Known for

  • Elastic scalable cloud architecture
  • Secure governance and data sharing
  • Multi-cloud analytics and AI

Key facts

  • Founded in 2012
  • Headquartered in Bozeman, Montana
  • Public company (NYSE: SNOW)
More about Snowflake →
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