Description
At Snowflake, we are powering the era of the agentic enterprise.
We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
As a Technical Architect in our Services Delivery team in Japan, you will work with customers to understand their needs and provide technical solutions using Snowflake's data platform.
Your impact:
- Act as a technical expert across all aspects of Snowflake.
- Deploy Snowflake according to best practices, including knowledge sharing to ensure customers can effectively use and extend the platform.
- Collaborate with customers to demonstrate and implement Snowflake technology best practices.
- Develop a deep understanding of competing and complementary technologies and vendors, and position Snowflake accordingly.
- Work with system integrators to successfully deploy Snowflake in customer environments.
- Provide guidance and solutions for customers' technical challenges.
- Support team members in developing their expertise and sharing knowledge.
- Collaborate with product management, engineering, and marketing to continuously improve Snowflake's products and marketing.
Who you are:
- 5-8 years of experience in post-sales technical customer engagement.
- Ability to understand customer needs and propose and drive project plans.
- Excellent presentation and demo skills for both technical and executive audiences.
- Understanding of the complete data analytics stack and workflow, from ETL to data platform design, BI, and analytics tools.
- Design and implementation skills for databases, data warehouses, and data processing.
- Rich experience with SQL and SQL analytics.
- Experience with scripting languages such as Python, Ruby, Perl, and Bash.
- Flexibility and ability to work with customers on-site, with occasional travel required.
- Experience in proposing, implementing, and utilizing AI/ML solutions to solve business challenges.
Nice to Have:
- Knowledge of large-scale database technologies such as Redshift, Netezza, Exadata, and Teradata.
- Experience with large-scale data processing tools such as Spark, Hadoop, and HBase.
- Understanding of BI and data exploration tools such as Tableau, Sigma, Qlik, Omni, and Looker.
- Experience with ETL pipelines using custom and packaged tools.
- Experience with designing and building systems using public clouds such as AWS, Microsoft Azure, and Google Cloud Platform.
- Experience with data migration projects.
- Experience with designing and implementing AI/ML on data analytics platforms.
- Experience with proposing and introducing Snowflake Cortex and other AI products.
- Experience with designing PoCs and implementing AI/ML and GenAI use cases.
- Advisory experience with MLOps, governance, monitoring, and security.
- Experience with prompt engineering and LLM robustness and AI-specific risk response.
Benefits:
- Free lunch at office
- DC (corporate defined contribution pension plan)
- RSU, ESPP
- Mobile phone and gym fee subsidies
- Paid Parental Leave
- 3-day Summer Vacation and 5-day Year-end Holidays
- Commuting Support