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Snowflake

Runs a cloud platform for business data and AI

Senior Solution Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in MalaysiaNo salary listed

About the Job

Requirements

  • Seven or more years of experience in a customer-facing technical role such as Solutions Engineer, Pre-Sales Architect, or Data Architect in the data, analytics, or cloud space.
  • Strong hands-on expertise with cloud data platforms, data warehousing, or big data technologies such as Snowflake, SQL data warehouses, Hadoop/Spark, or cloud-native data services.
  • Proficiency in SQL and experience with one or more programming languages commonly used in data and analytics, such as Python.
  • Ability to design and communicate architectures for data integration, warehousing, business intelligence and analytics, and data science or machine-learning workloads.
  • Industry experience or strong exposure in financial services and/or telecommunications, including banks, insurers, capital markets, payment providers, telecommunications operators, cable/media, or digital service providers.
  • Demonstrated success driving technical wins and expansion in enterprise accounts, ideally in a subscription- or consumption-based model.
  • Ability to engage technical teams and senior business or information technology executives.
  • Ability to work independently and collaboratively in a fast-paced environment, managing multiple complex opportunities in parallel.
  • Must be based in Malaysia and able to travel within the region as needed.

Responsibilities

  • Own the technical expansion strategy for a portfolio of telecommunications and financial services customers in Malaysia.
  • Identify new workloads, use cases, and lines of business to adopt Snowflake, including risk and compliance, customer 360, network analytics, fraud, revenue assurance, and real-time personalization.
  • Map business objectives to Snowflake-powered solutions that increase consumption and platform stickiness.
  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
  • Demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demonstrations and proofs of concept through design and implementation.
  • Maintain an understanding of competitive and complementary technologies and vendors and position Snowflake in relation to them.
  • Lead technical discovery sessions with architects, data leaders, and domain stakeholders to uncover pain points, constraints, and opportunities.
  • Create and present target-state architectures, reference patterns, and roadmaps for data consolidation, analytics, data science and artificial intelligence, and data sharing or monetization.
  • Coordinate internal specialists, Professional Services, and partners as technical lead within the account team to execute expansion strategies.
  • Advise on financial services and telecommunications data estates, regulatory and compliance concerns, and common analytics and artificial-intelligence use cases.
  • Advise customers on data residency, security, governance, and regulatory expectations in these industries.
  • Develop and reuse industry-specific solution patterns, demonstrations, and assets for financial services and telecommunications stakeholders.
  • Design and deliver customer-specific demonstrations and technical narratives.
  • Lead and execute proofs of concept and pilots, including defining success criteria and joint execution plans, to prove value and reduce platform decision risk.
  • Translate technical capabilities into business value and return on investment for senior non-technical audiences.
  • Guide customers on Snowflake best practices for data modeling, performance optimization, cost governance, security, and operations.
  • Help customers standardize on Snowflake as their enterprise data foundation, including migrations from legacy platforms.
  • Review and advise on architectural decisions, reference architectures, and implementation designs.
  • Collaborate with Sales, Customer Success, Professional Services, Product, and partners to support customer outcomes.
  • Work with systems integrator, independent software vendor, and cloud partners to incorporate relevant solutions into customer architectures.
  • Relay field feedback to Product and Engineering to inform roadmap priorities, particularly for financial services and telecommunications needs.
  • Represent Snowflake at customer workshops, executive briefings, industry events, and community meetups.
  • Create and share technical presentations, reference architectures, playbooks, and demonstrations to support expansion in financial services and telecommunications.
  • Mentor junior solution engineers and contribute to regional solution-engineering best practices and knowledge sharing.

Desired Qualifications

  • Hands-on experience with Snowflake or similar cloud-native data platforms, including data ingestion and transformation, performance tuning and cost governance, and security, data masking, and governance.
  • Familiarity with AWS, Azure, or Google Cloud Platform and their data and analytics ecosystems.
  • Understanding of financial services and telecommunications regulatory and compliance landscapes, including data residency, Bank Negara Malaysia and regional guidelines, and industry standards.
  • Experience with analytics and business intelligence tools such as Tableau, Power BI, or Looker, and/or data science and machine-learning frameworks.
  • Prior experience in a field pre-sales role at a data platform, cloud provider, or analytics/artificial-intelligence company.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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