3 months ago
Tokyo, JapanSenior
Responsibilities
- Act as a technical expert across all aspects of Snowflake.
- Deploy Snowflake according to best practices and share knowledge so customers can correctly understand and extend its capabilities.
- Work hands-on with customers to demonstrate and communicate best practices for implementing Snowflake technologies.
- Maintain deep knowledge of competitors, complementary technologies, and vendors and appropriately position Snowflake among them.
- Collaborate with system integrator consultants at a deep technical level to position and deploy Snowflake successfully in customer environments.
- Provide solutions and guidance for customer-specific technical challenges.
- Support team members’ expertise development and knowledge sharing.
- Collaborate with product management, engineering, and marketing to continuously improve Snowflake products and marketing.
Requirements
- 5–8 years of technical customer-facing experience in post-sales technical delivery.
- Ability to understand customer needs and independently propose and drive project approaches.
- Strong presentation and demonstration skills for both technical and executive audiences.
- Understanding of the complete data analytics stack and workflow, from ETL and data platform design through BI and analytics tools.
- Design and implementation skills in databases, data warehouses, and data processing.
- Extensive practical experience with SQL and SQL analytics.
- Experience with scripting languages such as Python, Ruby, Perl, and Bash.
- Ability and flexibility to work onsite with customers and travel as needed.
- Experience proposing, implementing, and using AI/ML solutions to solve business problems.
- Preferred experience with large-scale database technologies such as Redshift, Netezza, Exadata, and Teradata.
- Preferred experience with large-scale data processing tools such as Spark, Hadoop, and HBase.
- Preferred understanding and experience with BI and data exploration tools such as Tableau, Sigma, Qlik, Omni, and Looker.
- Preferred experience implementing ETL pipelines using custom and packaged tools.
- Preferred experience designing and building systems using public cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform.
- Preferred data migration project experience.
- Preferred AI/ML design and implementation experience on data analytics platforms.
- Preferred experience proposing and driving adoption of AI products including Snowflake Cortex.
- Preferred experience designing, prototyping, and implementing AI/ML and GenAI use cases.
- Preferred experience advising on MLOps, governance, monitoring, and security.
- Preferred experience with prompt engineering, LLM robustness, and AI-specific risk management.
Benefits
- Free lunch at the office
- Defined contribution pension plan (DC)
- RSU and ESPP
- Mobile phone and gym expense subsidies
- Paid parental leave
- 3-day summer vacation and 5 year-end holidays
- Commuting support
- Customer-site work and travel flexibility are required as needed
Tech Stack
Amazon RedshiftApache HadoopApache HBaseApache SparkAWSAzureBashGoogle Cloud PlatformPerlPythonRubySnowflakeSQL
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.