Snowflake

Senior Solution Engineer – Data and AI

Snowflake

full-time

Posted on:

Location Type: Hybrid

Location: Auckland • New Zealand

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Job Level

Senior

Tech Stack

CloudPythonSQL

About the role

  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers across industries
  • 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.
  • Track record of linking technology initiatives and architectures to business outcomes
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Requirements

  • 10+ years of industry experience with a minimum of 5 years in a consulting and/or pre-sales environment.
  • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Deep expertise in cloud data platforms, AI/ML technologies (including LLMs, machine learning pipelines, and MLOps), data warehousing, and modern data architecture
  • Hands-on expertise with SQL and/or Python, and data modeling concepts
  • Ability to connect a customer’s specific business problems and Snowflake’s solutions
  • A curiosity and capability to quickly get up to speed with new technologies, tools, and frameworks.
  • University degree in computer science, engineering, statistics, or related fields, or equivalent experience preferred
Benefits
  • Snowflake is about empowering enterprises to achieve their full potential
  • Health insurance
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythondata modelingcloud data platformsAI technologiesML technologiesdata warehousingmodern data architectureMLOpsmachine learning pipelines
Soft Skills
presenting skillscommunicationcollaborationcuriosityproblem-solving