Senior Solution Engineer, Public Sector

• Partner with Account Executives and Customer Success Managers to

within existing Public Sector accounts (new workloads, users, departments, and data products).

• Present Snowflake's

to executives, technical leaders, and practitioners at public sector customers, clearly articulating business value and technical differentiation.

• Work hands-on with customers to

on Snowflake across analytics, data sharing, data engineering, AI/ML, and data applications - from ideation to proof-of-concept and production rollout.

• Conduct

to understand current usage, identify gaps, and propose best-practice architectures that increase adoption, performance, security, and cost efficiency.

• Build and deliver

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

and influence product roadmap.

• Create and share

such as reference architectures, demo environments, playbooks, and best practices tailored to public sector expansion.

• Act as a

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

(data platforms, analytics, AI/ML tools, integration and BI ecosystems) and how to position Snowflake relative to them in the public sector context.

• Support

with detailed technical input, ensuring alignment with government standards and procurement requirements.

• Advocate for and demonstrate

on Snowflake to drive sustainable, value-based expansion.

• Contribute to the broader

• Extensive working experience in a

role, ideally focused on data, analytics, or cloud platforms.

• Proven track record of

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:

•

, data warehousing / data lakes / lakehouse

• Analytics, data science,

, and data applications

• Excellent ability to present to both

, whether through impromptu whiteboarding or structured presentations and demos.

• Hands-on expertise with

.

• Solid understanding of

(AWS, Azure, or GCP) and key data-related services.

• Strong familiarity with

concepts relevant to public sector workloads (identity and access management, encryption, data residency, auditing).

• Experience working in or with

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

skills, with the ability to translate technical capabilities into business outcomes.

• Degree in

• Experience with

(e.g., Teradata, Netezza, Exadata, Greenplum, Hadoop) and migrations to cloud data platforms.

• Programming/scripting experience (e.g.,

) for data engineering, automation, or proof-of-concept development.

• Experience selling or supporting

in a pre-sales, consulting, or architecture role.

• Familiarity with

(e.g., Tableau, Power BI, Looker) and how they integrate with cloud data platforms.

• Experience designing or optimizing

and enterprise data architectures.

• Background in

- 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

(GSIs, ISVs, resellers) to drive joint solutions and market motions in the public sector.

• Exposure to

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.

• Hands-on experience designing or operating

or similar cloud-native data platforms in production at scale.

• Experience with

concepts, particularly for cross-agency or cross-domain collaboration.

• Deep understanding of

, such as:

• Government security and compliance standards

• Data residency and sovereignty expectations

• GovTech and Smart Nation initiatives

• Experience driving

in complex environments, including C-level sponsors, architects, procurement, and operational teams.

• Experience with

and subscription-based business models.

• Passion for helping public sector organizations