Solutions Architect, Frontier Engineering
Snowflake
- Location
- JP-Tokyo
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 110 approvals (FY2023)
- Posted
- 1h ago
Skills
About this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Frontier Engineering is the implementation and strategy organization for the Snowflake platform. We engage with customers throughout their journey to optimize, accelerate, and achieve business outcomes. We are looking for a Solutions Architect to serve as the critical technical bridge between Snowflake Frontier Engineering and our customers. This role combines deep platform expertise with consultative selling acumen and provides hands-on technical leadership during the pre-sales cycle, while maintaining a secondary responsibility for direct customer delivery on strategic engagements. The ideal candidate can translate complex customer business challenges into compelling, delivery-ready Snowflake solutions and communicate that vision confidently to technical and executive audiences. As a Solutions Architect, you will 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 proof-of-concept efforts that validate Snowflake’s ability to meet customer requirements and accelerate deal closure. Architect delivery-ready solutions grounded in Snowflake platform capabilities. Produce technical scoping artifacts, including solution architectures, level-of-effort estimates, resource plans, and risk assessments that feed directly into Statements of Work. Build trusted-advisor relationships with customer technical stakeholders, including Directors, VPs, CTOs, and CDOs. Provide technical thought leadership that elevates the quality and win rate of services opportunities through competitive positioning, technical objection handling, value articulation, and identification of expansion opportunities. Participate selectively in delivery engagements, typically on engagements originated by the Solutions Architect, short-duration architecture validation sprints, or executive-level checkpoint sessions on strategic accounts. Contribute to reusable solution patterns, reference architectures, sales collateral, and enablement content. Mentor 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. This is not a full implementation role. Delivery involvement is time-boxed and intentional, supporting platform currency and reinforcing the customer relationship established during the sales cycle. Our ideal Solutions Architect will have 5+ years of experience in a customer-facing technical role spanning pre-sales and/or post-sales consulting, solution architecture, or technical advisory. Demonstrated experience operating at the intersection of sales and delivery, supporting deal pursuit while also executing technical project work. Proven experience designing and presenting enterprise-scale data platform solutions to technical and executive audiences. Demonstrated experience with Japanese business sales cycles (requirements gathering, pre-RFP sales activities, formal RFP processes and responses). Hands-on proficiency with SQL and Python in the context of data analytics, data engineering,