Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
Solutions Architect
Location
Israel
Posted
82 days ago
Salary
0
Seniority
Senior
Job Description
Solutions Architect
Snowflake
• 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 • Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value
Job Requirements
- 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.
Benefits
- Snowflake is about empowering enterprises to achieve their full potential — and people too.
- Culture that’s all in on impact, innovation, and collaboration.
- Access to programs that improve physical and mental health.
- Opportunities for professional development and learning continuity.
- Career growth and advancement opportunities.
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