7 days ago
Singapore, SingaporeSenior
Responsibilities
- Own the technical success, adoption metrics, and consumption trajectory of a portfolio of new and early-stage customers.
- Serve as a strategic technical advisor on data strategy, technology stack integration, Snowflake activation, and customer use cases.
- Provide Snowflake-specific platform guidance for data products and agentic workflows.
- Use AI-powered development tools and automation to accelerate customer solutions and implementation guidance.
- Collaborate with account teams, internal Snowflake teams, and external partners to manage risks and coordinate resources.
- Create and deliver reusable Hands-on Labs, webinars, workshops, executive briefings, and other educational programs.
- Provide field feedback to Product Management and Engineering teams and represent Snowflake at industry and community events.
Requirements
- At least 8 years of experience working with data technologies.
- Strong competency in modern data stacks, ETL/ELT, data warehouses or lakes, data science, generative AI, and data applications.
- Advanced proficiency in Python and SQL, with extensive experience using Apache Spark, PySpark, and dbt.
- Foundational knowledge and practical experience with AWS, Azure, and Google Cloud.
- Ability to manage multiple projects and use project management skills to drive customers toward agreed timelines.
- Excellent written and verbal communication skills for explaining technical concepts to diverse audiences.
- A university degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience in a technical role.
- Snowflake certifications or production experience, additional programming experience in Java or Scala, and experience or interest in AI-powered development tools are preferred.
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.