Solutions Architect, Frontier Engineering
Primary stack
Nice to have's
Job description
About the Position
Solutions Architect, Frontier Engineering
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.
Responsibilities
- Function as a key technical resource to support Frontier Engineering Practice Managers and Practice Directors throughout the service sales cycle.
- Design end-to-end architecture for deliverable solutions based on the capabilities of the Snowflake platform.
- Create technical scoping artifacts such as solution architecture, effort estimation, resource planning, and risk assessment that are directly reflected in the Statement of Work (SOW).
- Build trusted advisor relationships with customer technical stakeholders, including Directors, VPs, CTOs, and CDOs.
- Provide technical thought leadership to improve the quality and win rate of service engagements through competitive positioning, addressing technical objections, clarifying value, and identifying expansion opportunities.
- Contribute to the creation of reusable solution patterns, reference architectures, sales collateral, and enablement content.
- Mentor Practice Managers on technical positioning and Technical Architects on customer communication skills.
- Provide structured feedback to Product Management and Engineering on customer requirements, competitive gaps, and emerging market needs.
Requirements
- 5+ years of experience in customer-facing technical roles, spanning pre-sales and/or post-sales consulting, solution architecture, or technical advisory.
- Experience at the intersection of sales and delivery, executing technical project work while supporting deal pursuits.
- Proven track record of designing and proposing enterprise-scale data platform solutions to technical and executive audiences.
- Demonstrated experience in the Japanese business sales cycle (requirement gathering, pre-RFP sales activities, formal RFP process and response).
- Practical proficiency in SQL and Python in the context of data analytics, data engineering, or AI/ML solution development.
- Deep understanding of one of the major public cloud platforms: 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.
- Excellent presentation skills in various settings, including whiteboard chalk talks, formal pitches, and live demonstrations.
- Outstanding interpersonal skills to build trust with customers, partners, and internal stakeholders at all levels.
- Experience collaborating with a partner ecosystem, including Systems Integrators.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field, or equivalent work experience.
- Native Japanese and Business level English proficiency.
- Flexibility to travel to customer sites as needed.
Nice to Have
- Experience with Snowflake or an equivalent cloud data platform in a consulting or implementation role.
- Snowflake SnowPro Core and Advanced certifications.
- Experience within the Frontier Engineering organization at a cloud service vendor.
- Industry expertise in key sectors 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 the modernization of legacy platforms like Teradata, Hadoop, or Netezza.
- Cloud certifications from AWS, Google, or Microsoft.
We Offer
- Free lunch at the office
- DC (corporate pension plan)
- RSU, ESPP
- Mobile phone and gym expense subsidies
- Paid Parental Leave
- 3-day summer vacation & 5-day year-end holidays
About the Company
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
© Snowflake. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Cloud Computing,Data Management,Artificial Intelligence
About the Company Snowflake is a cloud-native data platform launched in 2012 by a team of data experts who identified limitations in traditional databases. The company has a strong presence in Poland, with a technical hub in Warsaw. Snowflake offers an international work environment with opportunities for skill development and collaboration with industry experts. Products, Services & Tech Stack Core Solutions: Data processing and management platform. Technologies & Frameworks: Specific technologies and frameworks are not detailed in the provided text. Project Scope & Target Clients Client Base: Not specified. Engineering Scale: Not specified.
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