Solutions Architect

Snowflake · Remote · IL-Israel-Remote ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Solutions Architect
  • Snowflake Platform
  • AI/ML Focus
  • Customer Facing
  • Technical Leadership

As a Solutions Architect at Snowflake, you will act as a trusted technical advisor for customers, translating business requirements into robust solution architectures. You will leverage your expertise in data analytics and AI to help organizations optimize their use of the Snowflake platform.

The role requires hands-on technical leadership, including writing code and designing end-to-end AI/ML solutions. You will collaborate with go-to-market and product teams to ensure customer success and drive the adoption of Snowflake's AI product suite.

What you'll do

  • Engage with customers as a trusted advisor for solution approaches
  • Translate business requirements into well-architected recommendations
  • Develop forward-looking guidance and future-state roadmaps
  • Oversee and advise on customer Snowflake platform implementations
  • Design and prototype end-to-end AI/ML solutions on Snowflake
  • Define MLOps practices for model deployment and governance
  • Drive adoption of Snowflake AI products like Cortex and Streamlit
  • Coach customers on leveraging AI tools for business value

What you'll need

  • BA/BS in computer science, engineering, or related field
  • 3 years of technical consulting experience
  • Experience leading analytics projects for large enterprises
  • Experience implementing Snowflake-centric solutions
  • Understanding of full data analytics stack from ETL to BI
  • Deep knowledge of AI/ML lifecycle and MLOps tools
  • Proven experience with generative AI and LLM use cases
  • Hands-on experience with SQL and Python
  • Knowledge of large-scale database technologies
  • Proficiency in Snowflake data security and access controls
  • Familiarity with prompt engineering techniques

Nice to have

  • 5+ years as solutions architect, data architect, or data engineer
  • Experience in services organization of a product company
  • Leadership experience executing technical projects
  • Application development experience
  • AWS, Google, or Microsoft Cloud certifications
  • Snowflake Snowpro Advanced Certification

Stack

  • Snowflake
  • SQL
  • Python
  • Java
  • Spark
  • Cortex
  • Streamlit
  • MLOps tools