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Solutions Architect

Snowflake Inc.· Professional Services
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RemoteFull-timePosted 7mo ago

About the role

Snowflake Services Delivery provides implementation and strategy expertise for the Snowflake platform. Solutions Architects lead technical delivery, architecture design, AI/ML guidance, and customer advisory to optimize outcomes and accelerate adoption of Snowflake’s AI product suite.

Responsibilities

  • Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches
  • Extract business requirements from customers and translate them into a well-architected recommendation
  • Develop and provide forward-looking guidance and future-state roadmaps
  • Leverage known best practices and solutions to reduce risk to customer implementations
  • Collaborate with Snowflake “Go to Market” teams and product teams to ensure customer alignment to Snowflake goals
  • Oversee and advise on the implementation of the customer’s Snowflake platform
  • Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
  • Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance
  • Provide customers with standard practices and advice related to AI/ML workloads in Snowflake
  • Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment
  • Drive the adoption of Snowflake’s AI product suite (e.g., Cortex, Streamlit in Snowflake, Snowflake Intelligence) within customer solutions
  • Experience replatforming AI/ML workloads to Snowflake in line with business and operational requirements
  • Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value

Qualifications

  • BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
  • 3 years of technical consulting experience
  • Experience in a lead role for analytics projects for large enterprises
  • Experience implementing and operating Snowflake centric solutions
  • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
  • Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
  • Familiarity with AI/ML and Transformation technologies
  • Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
  • Proven experience with developing generative AI and LLM use cases
  • Familiarity with industry common BI and ETL solutions
  • Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
  • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
  • Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
  • Familiarity with prompt engineering techniques

Skills

Required:SQLPythonSnowflakeAI/ML Lifecycle

Benefits

  • For jobs located in the United States, salary and benefits information available on Snowflake Careers Site: careers.snowflake.com
Last updated Jul 16, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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