Senior Solution Engineer

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.

Programming/scripting experience (e.g., Python, Java, Scala, or Spark) 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 (e.g., Tableau, Power BI, Looker) 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 (e.g., in a ministry, statutory board, or government-linked entity) or as a vendor/partner supporting public sector programs.

Experience working with ecosystem partners (GSIs, ISVs, resellers) to drive joint solutions and market motions in the public sector.

Exposure to Data Science / AI / ML / Generative AI workloads, including integration patterns with Snowflake and cloud-native AI services.

Cloud platform certifications (e.g., AWS, Azure, GCP) and/or data/analytics certifications (including Snowflake) are an added plus.

ADDED BONUS FOR:

Hands-on experience designing or operating data platforms on Snowflake or similar cloud-native data platforms in production at scale.

Experience with data sharing, data exchange, or data marketplace concepts, particularly for cross-agency or cross-domain collaboration.

Deep understanding of Singapore and ASEAN public sector frameworks, such as:

• Government security and compliance standards
• Data residency and sovereignty expectations
• GovTech and Smart Nation initiatives

Experience driving multi-stakeholder programs in complex environments, including C-level sponsors, architects, procurement, and operational teams.

Experience with enterprise SaaS solutions and subscription-based business models.

Passion for helping public sector organizations unlock the value of data to improve citizen services, policy-making, and operational efficiency.

Skills

Communication, Business Stakeholder Management, Collaboration, Public Sector, Technical Advisory, Computer Science, Customer Facing Roles, Snowflake Computing, Technical Presentations, SQL Development