SnowflakeVerified from Snowflake's careers page · Ashby

Senior Solution Engineer, Public Sector

  • Sg-Singapore
  • Not Specified
  • Posted Oct 14, 2026

Visa sponsorship: the posting does not say.

Snowflake had H-1B petitions approved for 404 workers in fiscal year 2025 (USCIS). That is history, not a promise for this role. See the record

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. As a Senior Solution Engineer – Public Sector at Snowflake, you will partner closely with Sales, Customer Success, Product, Engineering, and Marketing to drive ongoing success and growth within our existing Public Sector customer base in Singapore and the broader ASEAN region. You will act as a trusted technical advisor, helping government agencies and public sector institutions realize full value from the Snowflake Data Cloud, expand their workloads, and adopt new capabilities such as AI/ML and data applications. This role requires a blend of deep technical expertise, strong knowledge of the public sector landscape , and excellent customer engagement skills. You will lead technical discovery, architect new use cases on top of existing deployments, deliver compelling demonstrations, and guide customers through proof-of-value and production expansion. A strong understanding of the Singapore and ASEAN public sector regulatory environment (e.g., IM8, GovTech policies, data residency, cloud security and compliance requirements) is essential. RESPONSIBILITIES: • Partner with Account Executives and Customer Success Managers to identify, qualify, and execute expansion opportunities within existing Public Sector accounts (new workloads, users, departments, and data products). • Present Snowflake’s technology, roadmap, and vision to executives, technical leaders, and practitioners at public sector customers, clearly articulating business value and technical differentiation. • Work hands-on with customers to design and validate new solutions on Snowflake across analytics, data sharing, data engineering, AI/ML, and data applications – from ideation to proof-of-concept and production rollout. • Conduct technical discovery and architecture reviews to understand current usage, identify gaps, and propose best-practice architectures that increase adoption, performance, security, and cost efficiency. • Build and deliver tailored demos and technical workshops that showcase how Snowflake can power key government and public sector use cases (e.g., citizen 360, smart nation initiatives, public health analytics, regulatory reporting, fraud and risk, operational analytics). • Collaborate with Product, Engineering, and Marketing to: • Provide public sector–specific feedback and influence product roadmap. • Create and share reusable assets such as reference architectures, demo environments, playbooks, and best practices tailored to public sector expansion. • Act as a trusted advisor to customer technical stakeholders, helping them adopt Snowflake platform features (governance, security, performance optimization, data sharing, marketplace, AI/ML integrations) and embed Snowflake into their long-term data strategy. • Maintain a deep understanding of competitive and complementary technologies (data platforms, analytics, AI/ML tools, integration and BI ecosystems) and how to position Snowflake relative to them in the public sector context. • Support RFPs, RFIs, and security/compliance reviews with detailed technical input, ensuring alignment with government standards and procurement requirements. • Advocate for and demonstrate cost management and FinOps best practices on Snowflake to drive sustainable, value-based expansion. • Contribute to the broader SE and Public Sector community by mentoring peers, sharing learnings, and supporting field enablement. MINIMUM REQUIREMENTS: • Extensive working experience in a customer-facing solution engineering / pre-sales role, ideally focused on data, analytics, or cloud platforms. • Proven track record of driving expansion or upsell within existing enterprise or public sector accounts (e.g., increasing platform consumption, enabling new workloads, or landing cross-departmental use cases). • Strong competency across modern data stacks: • ETL/ELT , data warehousing / data lakes / lakehouse • Analytics, data science, AI / ML / Generative AI , and data applications • Excellent ability to present to both technical and executive audiences , whether through impromptu whiteboarding or structured presentations and demos. • Hands-on expertise with SQL and at least one of the following: Python, Spark, or similar data processing technologies . • Solid understanding of cloud platforms (AWS, Azure, or GCP) and key data-related services. • Strong familiarity with security, governance, and compliance concepts relevant to public sector workloads (identity and access management, encryption, data residency, auditing). • Experience working in or with Singapore / ASEAN Public Sector customers, or other regulated environments, with an understanding of government procurement and regulatory expectations. • Solid understanding of Singapore Government Commercial cloud - infrastructure, networking, security and data classification levels. • Excellent communication, stakeholder management, and value-based selling skills, with the ability to translate technical capabilities into business outcomes. • Degree in Computer Science, Engineering, Mathematics , or a related technical field (or equivalent practical experience). STRONGLY DESIRED: • Experience with large-scale data platforms (e.g., Teradata, Netezza, Exadata, Greenplum, Hadoop) and migrations to cloud data platforms. • Progra

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