Account Engineer (AI/Data)

Location: Singapore

Company

Snowflake provides the AI Data Cloud and helps organizations activate, adopt, and expand cloud data platforms.

What you will do

• Own the technical success, adoption, and consumption trajectory of a portfolio of new and early-stage customers.
• Advise customers on data strategy, technology-stack integration, Snowflake platform activation, and initial use cases.
• Provide architectural guidance for data products and agentic workflows, using AI-powered development tools and automation to accelerate implementation.
• Collaborate with account teams, internal Snowflake groups, and external partners to manage risks and coordinate resources.
• Create reusable Hands-on Labs, webinars, workshops, executive briefings, and community or industry event content.
• Share field feedback with Product Management and Engineering to influence product development.

Requirements

• At least 8 years of professional experience working with data technologies.
• Strong competency in modern data stacks, ETL/ELT, data warehouses or data lakes, data science, Gen AI, and Data Apps.
• Advanced proficiency in Python and SQL, with extensive experience using distributed compute frameworks such as Apache Spark and PySpark and modern data-stack tools such as dbt.
• Strong foundational knowledge and experience with AWS, Azure, and Google Cloud.
• Excellent written and verbal communication skills, including the ability to explain technical concepts to diverse audiences.
• Ability to manage multiple projects and use project-management skills to track and drive customers toward agreed timelines.
• University degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience in a technical role.
• Willingness to learn, grow technical skills, and develop expertise in the Snowflake platform.

Nice to have

• Snowflake certifications or production hands-on experience.
• Additional coding-language proficiency, particularly Python, Java, or Scala, in a data or application-development context.
• Experience or strong interest in AI-powered development tools and coding agents.

Culture & Benefits

• AI-native, experimental approach to using emerging capabilities and coding agents.
• Low-ego, fast-moving environment focused on challenging conventional thinking and accelerating innovation.
• Cross-functional work with customers, account teams, partners, Product Management, and Engineering.
• Full-time employment.