Snowflake09.03.2026

Solutions Architect

Полная занятостьУдалёнка

Обязанности

01Engage directly with customers as a trusted advisor and extract business requirements
02Develop forward‑looking guidance and future‑state roadmaps
03Leverage best practices to reduce risk in customer implementations
04Collaborate with Go‑to‑Market and product teams to align customers with Snowflake goals
05Oversee and advise on implementation of customers’ Snowflake platforms
06Demonstrate technical leadership through code, solution architectures and implementation recommendations
07Design, prototype and implement end‑to‑end AI/ML solutions on Snowflake ensuring scalability and performance
08Provide standards and advice for AI/ML workloads and MLOps practices in Snowflake
09Drive adoption of Snowflake AI product suite such as Cortex, Streamlit in Snowflake, Snowflake Intelligence
10Coach customers on leveraging Snowflake AI products to create business value

01BA/BS in computer science, engineering, mathematics or related field or equivalent experience
02Minimum 3 years of technical consulting experience
03Lead experience on analytics projects for large enterprises
04Experience implementing and operating Snowflake‑centric solutions
05Understanding of full data analytics stack from ETL to BI and analytics tools
06Deep knowledge of AI/ML lifecycle including data preparation, feature engineering, model training, deployment and monitoring
07Familiarity with AI/ML and transformation technologies
08Hands‑on experience with modern MLOps tools and frameworks
09Proven experience developing generative AI and LLM use cases
10Experience with common BI and ETL solutions
11Hands‑on experience using SQL and Python (optionally Java or Spark) for data analytics solutions
12Extensive knowledge of large‑scale database technologies (e.g., Snowflake, Netezza, Exadata, Teradata, Greenplum)
13Proficiency in implementing data security and access controls within Snowflake
14Familiarity with prompt engineering techniques