At a glance
- Employment
- Full-time
- Location
- SG-Singapore
About the role
- 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.
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.
- 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 and embed Snowflake into their long-term data strategy.
- Support RFPs, RFIs, and security/compliance reviews with detailed technical input, ensuring alignment with government standards and procurement requirements.
- Contribute to the broader SE and Public Sector community by mentoring peers, sharing learnings, and supporting field enablement.
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.
- Strong competency across modern data stacks including ETL/ELT, data warehousing / data lakes / lakehouse, and 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.
- 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.
- Degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
Preferred qualifications
- Experience with large-scale data platforms and migrations to cloud data platforms.
- Programming/scripting experience for data engineering, automation, or proof-of-concept development.
- Experience selling or supporting enterprise data / analytics / AI platforms in a pre-sales, consulting, or architecture role.
- Familiarity with BI and data visualization tools and how they integrate with cloud data platforms.
- Experience designing or optimizing OLAP data models and enterprise data architectures.
- Background in Public Sector or Government – either as a practitioner or as a vendor/partner supporting public sector programs.
- Experience working with ecosystem partners to drive joint solutions and market motions in the public sector.
- Cloud platform certifications and/or data/analytics certifications are an added plus.
Skills
- SQL
- Python
- Spark
- Java
- Scala
- AWS
- Azure
- GCP
- Tableau
- Power BI
- Looker
- Snowflake
