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Snowflake

Runs a cloud platform for business data and AI

Solutions Architect - Frontier Engineering

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, Japan

About the Job

Requirements

  • At least 5 years of experience in customer-facing technical roles spanning presales and/or post-sales consulting, solution architecture, or technical advisory.
  • Experience working at the intersection of sales and delivery, executing technical project work while supporting deal pursuits.
  • A track record of designing and proposing enterprise-scale data platform solutions to technical and executive audiences.
  • Demonstrated experience with Japanese business sales cycles, including requirements gathering, pre-RFP sales activity, and formal RFP processes and responses.
  • Practical proficiency in SQL and Python in the context of data analytics, data engineering, or AI/ML solution development.
  • Deep understanding of at least one major public cloud platform: AWS, Azure, or GCP.
  • Experience with Frontier Engineering scoping, including effort estimation, solution architecture documentation, and SOW creation.
  • Deep understanding of data modeling, ETL/ELT patterns, data governance, and modern data architecture patterns.
  • Presentation skills across settings including whiteboard chalk talks, formal pitches, and live demonstrations.
  • Interpersonal skills to build trusted relationships with customers, partners, and internal stakeholders at all levels.
  • Experience with partner ecosystems, including collaboration with Systems Integrators.
  • A university degree in Computer Science, Engineering, Data Science, Mathematics, or a related field, or equivalent professional experience.
  • Native-level Japanese and business-level English proficiency.
  • Flexibility to travel for onsite customer visits as needed.

Responsibilities

  • Serve as the primary technical resource supporting Frontier Engineering Practice Managers and Practice Directors throughout the services sales cycle.
  • Lead technical discovery sessions, solution design workshops, architecture reviews, and proofs of concept to validate Snowflake's ability to meet customer requirements and accelerate deal closure.
  • Design end-to-end architectures for deliverable solutions based on Snowflake platform capabilities.
  • Produce technical scoping deliverables, including solution architecture, effort estimates, resource plans, and risk assessments, that directly inform statements of work.
  • Build trusted-advisor relationships with customer technical stakeholders, including Directors, VPs, CTOs, and CDOs.
  • Improve the quality and win rate of services engagements by providing technical thought leadership through competitive positioning, handling technical objections, clarifying value, and identifying expansion opportunities.
  • Selectively participate in engagements primarily originated by Solutions Architects, short-term architecture validation sprints, or executive-level checkpoint sessions for strategic accounts.
  • Contribute reusable solution patterns, reference architectures, sales materials, and enablement content.
  • Coach Practice Managers on technical positioning and Technical Architects on customer-facing communication skills.
  • Provide structured feedback to Product Management and Engineering on customer requirements, competitive gaps, and emerging market needs.
  • Keep delivery involvement time-limited and intentional, strengthening customer relationships built during the sales cycle while maintaining platform fluency; this is not a full-time implementation role.

Desired Qualifications

  • Experience with Snowflake or an equivalent cloud data platform in a consulting or implementation capacity.
  • Snowflake SnowPro Core and Advanced certifications.
  • Experience in a Frontier Engineering organization at a cloud services vendor.
  • Industry expertise in areas such as financial services, healthcare, retail, media, or manufacturing.
  • Familiarity with AI/ML lifecycle concepts, including model development, deployment, and MLOps practices.
  • Experience with data migration methodologies, including modernization of legacy platforms such as Teradata, Hadoop, and Netezza.
  • Cloud certifications from AWS, Google, or Microsoft.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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