---
title: 'Senior Solution Engineer, Public Sector at Snowflake'
canonical: 'https://feeny.ai/job/senior-solution-engineer-public-sector-snowflake-singapore-8gvf71qfqbjw'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Solution Engineer, Public Sector at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Singapore, Singapore
- **Employment:** full-time
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/a14ea6ec-9be5-4de1-8494-1a044a319c4e

## Job description

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.
- 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.

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](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

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