Чётко описанная senior-позиция в известной компании платформ данных сочетает техническую работу и общение с заказчиками, но без информации о зарплате сложнее оценить условия целиком.
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Зарплата не указанаПонятные задачиСовременные технологии
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TL;DR
Senior Solution Engineer (Public Sector) (Snowflake Data Cloud/AI/ML): Driving expansion of Snowflake deployments for Singapore and ASEAN public sector customers through technical discovery, solution architecture, demonstrations, and production rollouts with an accent on data platforms, governance, security, and regulatory compliance. Focus on designing complex analytics, data engineering, AI/ML, and data application solutions, supporting procurement and compliance reviews, and guiding multi-stakeholder programs toward sustainable cloud adoption.
Location: Singapore; scope covers Singapore and the broader ASEAN region
Company
Snowflake provides the Snowflake Data Cloud and related data, analytics, governance, and AI/ML capabilities for enterprise and public sector organizations.
What you will do
Partner with Sales and Customer Success to identify and execute expansion opportunities across existing public sector accounts.
Lead technical discovery, architecture reviews, proof-of-value engagements, and production expansion for analytics, data engineering, AI/ML, data sharing, and data applications.
Present Snowflake’s technology, roadmap, and value proposition to executives, technical leaders, and practitioners.
Build tailored demonstrations, technical workshops, reference architectures, demo environments, playbooks, and best practices for government use cases.
Advise customers on governance, security, performance, data sharing, marketplace capabilities, AI/ML integrations, cost management, and FinOps.
Support RFPs, RFIs, security and compliance reviews, product feedback, field enablement, and mentoring across the Solution Engineering and Public Sector communities.
Requirements
Extensive customer-facing solution engineering or pre-sales experience with data, analytics, cloud, or enterprise platforms.
Proven success driving expansion or upsell within enterprise or public sector accounts.
Strong knowledge of ETL/ELT, data warehouses, data lakes, lakehouses, analytics, data science, AI/ML, generative AI, and data applications.
Hands-on SQL expertise plus Python, Spark, or a similar data processing technology; familiarity with AWS, Azure, or GCP.
Understanding of security, governance, identity and access management, encryption, auditing, data residency, and compliance for public sector workloads.
Experience with Singapore or ASEAN public sector customers and Singapore Government Commercial Cloud infrastructure, networking, security, and data classification requirements.
Nice to have
Experience with Snowflake or similar cloud-native data platforms in production at scale.
Background with large-scale platforms such as Teradata, Netezza, Exadata, Greenplum, or Hadoop and migrations to cloud data platforms.
Experience with Java, Scala, data sharing, data exchange, data marketplaces, OLAP models, BI tools, enterprise SaaS, or cloud and data certifications.
Experience working with government agencies, ecosystem partners, GSIs, ISVs, resellers, and complex multi-stakeholder programs.
Culture & Benefits
AI-native, experimental approach to using emerging capabilities and improving how work gets done.
Low-ego, fast-moving environment focused on challenging ordinary thinking and accelerating innovation.
Opportunity to help public sector organizations improve citizen services, policymaking, and operational efficiency through data.
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