Solutions Architect

🕒 March 9

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• 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

🎯 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.