8 months ago
Remote, IsraelMid Level
Responsibilities
- Advise customers as a trusted technical partner on solution approaches, business requirements, implementation risks, and future-state roadmaps.
- Oversee and advise on customer Snowflake platform implementations while providing technical leadership through code, architectures, and recommendations.
- Design, prototype, and implement scalable end-to-end AI/ML solutions on Snowflake.
- Define and advise on MLOps practices for model deployment, monitoring, and governance.
- Drive adoption of Snowflake’s AI product suite, including Cortex, Streamlit in Snowflake, and Snowflake Intelligence.
- Coach customers on leveraging Snowflake’s AI capabilities and collaborate with go-to-market and product teams.
Requirements
- Bachelor’s degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.
- At least 3 years of technical consulting experience.
- Experience leading analytics projects for large enterprises and implementing and operating Snowflake-centric solutions.
- Understanding of the full data analytics workflow, including ETL, data platform design, BI, and analytics tools.
- Deep understanding of the AI/ML lifecycle, including data preparation, feature engineering, model training, deployment, and monitoring.
- Hands-on experience with MLOps tools and frameworks, generative AI and LLM use cases, SQL, and Python; Java or Spark experience is optional.
- Experience with large-scale database technologies such as Snowflake, Netezza, Exadata, Teradata, or Greenplum.
- Experience implementing data security measures and access controls in Snowflake and familiarity with prompt engineering.
- Preferred qualifications include at least 5 years as a solutions architect, data architect, database administrator, or data engineer; application development experience; technical project leadership; services experience at a product company; and AWS, Google, Microsoft Cloud, or Snowflake Snowpro Advanced certifications.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.