Technical Architect

Snowflake Snowflake · Data AI · Tokyo, Japan · Professional Services

Snowflake is seeking a Technical Architect to join their Services Delivery team in Tokyo. This role focuses on connecting business problems with Snowflake solutions, implementing best practices, and guiding customers in leveraging Snowflake's capabilities, including AI/ML solutions. The ideal candidate will have post-sales technical delivery experience, strong SQL and data analytics skills, and experience proposing and implementing AI/ML solutions for business challenges. The role also involves collaborating with internal teams and understanding the competitive landscape.

What you'd actually do

  1. Snowflake のあらゆる側面における技術的な専門家として活動します。
  2. お客様自身で Snowflake の機能を正しく理解し更に拡張していただけるよう、ナレッジの共有を含めベストプラクティスに沿って Snowflake をデプロイします。
  3. 顧客と直接手を動かしながら、Snowflake テクノロジーの実装に関するベストプラクティスを実証し、伝えます。
  4. 競合他社や補完的な技術やベンダーについての深い理解を持ち、それらとの関係における Snowflake のポジショニングを適切に示します。
  5. システムインテグレータのコンサルタントと協力して、顧客環境で Snowflake を成功裏に位置付けて展開するための深い技術レベルで作業します。

Skills

Required

  • Post-sales (technical delivery) customer-facing experience (5-8 years)
  • Ability to accurately capture customer needs and propose and drive project execution
  • Excellent presentation and demonstration skills
  • Understanding of the complete data analytics stack and workflows
  • Design and implementation skills for databases, data warehouses, and data processing
  • Extensive practical experience with SQL and SQL analytics
  • Scripting experience (Python, Ruby, Perl, Bash)
  • Ability and flexibility to work with customers on-site, including travel
  • Experience proposing and implementing AI/ML solutions to solve business challenges

Nice to have

  • Knowledge and design/implementation experience of large-scale database technologies (Redshift, Netezza, Exadata, Teradata, etc.)
  • Experience and knowledge of large-scale data processing tools (e.g., Spark, Hadoop, HBase)
  • Understanding and experience with BI and data exploration tools (e.g., Tableau, Sigma, Qlik, Omni, Looker)
  • Experience implementing ETL pipelines using custom and packaged tools
  • Experience and knowledge designing and building systems using public cloud (AWS, Microsoft Azure, Google Cloud Platform, etc.)
  • Experience with data migration projects
  • Design/implementation experience with AI/ML on data analytics platforms
  • Experience proposing and driving adoption of AI products including Snowflake Cortex
  • Design/PoC/implementation experience of AI/ML/GenAI use cases
  • Advisory experience on MLOps, governance, monitoring, and security
  • Prompt engineering, LLM robustness, and AI-specific risk response experience

What the JD emphasized

  • AI-native thinkers
  • agentic enterprise
  • AI as a high-trust collaborator
  • reinvent how they work
  • accelerate your impact
  • experimental mindset
  • rapidly test emerging capabilities
  • discover simpler, more powerful ways to deliver results
  • redefine the future of how work gets done
  • technical delivery
  • connect specific business problems with Snowflake solutions
  • communicate relevance and vision to diverse technical and executive audiences
  • implementations
  • lead customers through transformation
  • staying current on evolving data and analytics technologies
  • technical expert across all aspects of Snowflake
  • deploy Snowflake according to best practices
  • knowledge sharing
  • demonstrate and communicate best practices
  • deep understanding of competitors and complementary technologies and vendors
  • position Snowflake appropriately
  • work with system integrator consultants
  • provide solutions and guidance for customer-specific technical challenges
  • support team members in improving their expertise and knowledge sharing
  • collaborate with product management, engineering, and marketing
  • continuous improvement of Snowflake's products and marketing
  • post-sales (technical delivery) customer-facing experience
  • ability to accurately capture customer needs and propose and drive project execution
  • excellent presentation and demonstration skills
  • understanding of the complete data analytics stack and workflows
  • design and implementation skills for databases, data warehouses, and data processing
  • extensive practical experience with SQL and SQL analytics
  • scripting experience
  • ability and flexibility to work with customers on-site
  • propose and implement AI/ML solutions to solve business challenges
  • experience and knowledge of large-scale data processing tools
  • understanding and experience with BI and data exploration tools
  • experience implementing ETL pipelines
  • experience and knowledge designing and building systems using public cloud
  • experience with data migration projects
  • design/implementation experience with AI/ML on data analytics platforms
  • propose and drive adoption of AI products including Snowflake Cortex
  • design/PoC/implementation experience of AI/ML/GenAI use cases
  • advisory experience on MLOps, governance, monitoring, and security
  • prompt engineering, LLM robustness, and AI-specific risk response experience

Other signals

  • AI-native thinkers
  • agentic enterprise
  • AI as a high-trust collaborator
  • reinvent how they work
  • accelerate your impact
  • experimental mindset
  • rapidly test emerging capabilities
  • discover simpler, more powerful ways to deliver results
  • redefine the future of how work gets done
  • technical delivery
  • connect specific business problems with Snowflake solutions
  • communicate relevance and vision to diverse technical and executive audiences
  • implementations
  • lead customers through transformation
  • staying current on evolving data and analytics technologies
  • technical expert across all aspects of Snowflake
  • deploy Snowflake according to best practices
  • knowledge sharing
  • demonstrate and communicate best practices
  • deep understanding of competitors and complementary technologies and vendors
  • position Snowflake appropriately
  • work with system integrator consultants
  • provide solutions and guidance for customer-specific technical challenges
  • support team members in improving their expertise and knowledge sharing
  • collaborate with product management, engineering, and marketing
  • continuous improvement of Snowflake's products and marketing
  • post-sales (technical delivery) customer-facing experience
  • ability to accurately capture customer needs and propose and drive project execution
  • excellent presentation and demonstration skills
  • understanding of the complete data analytics stack and workflows
  • design and implementation skills for databases, data warehouses, and data processing
  • extensive practical experience with SQL and SQL analytics
  • scripting experience
  • ability and flexibility to work with customers on-site
  • propose and implement AI/ML solutions to solve business challenges
  • experience and knowledge of large-scale data processing tools
  • understanding and experience with BI and data exploration tools
  • experience implementing ETL pipelines
  • experience and knowledge designing and building systems using public cloud
  • experience with data migration projects
  • design/implementation experience with AI/ML on data analytics platforms
  • propose and drive adoption of AI products including Snowflake Cortex
  • design/PoC/implementation experience of AI/ML/GenAI use cases
  • advisory experience on MLOps, governance, monitoring, and security
  • prompt engineering, LLM robustness, and AI-specific risk response experience