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Senior Solution Engineer

Snowflake·Salary not specified

Primary stack

SnowflakeMachine LearningPythonSQL

Nice to have's

Cloud PlatformsRegulatory ComplianceAnalytics ToolsData GovernancePerformance TuningCost GovernanceSecurity

Job description

About the Position

Senior Solution Engineer

MY-Malaysia-Remote

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.

Responsibilities

  • Drive Expansion in Existing Accounts

    • Own the technical expansion strategy for a portfolio of Telco & FSI customers in Malaysia.
    • Identify new workloads, use cases, and lines of business to land on Snowflake (e.g., risk & compliance, customer 360, network analytics, fraud, revenue assurance, real-time personalization).
    • Map business objectives to Snowflake-powered solutions that increase consumption and platform stickiness.
  • Spearhead Technical Motion for Customer Acquisition

    • Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
    • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
    • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
  • Customer Discovery & Technical Leadership

    • Lead technical discovery sessions with architects, data leaders, and domain stakeholders to uncover pain points, constraints, and opportunities.
    • Craft and present target-state architectures, reference patterns, and roadmaps for data consolidation, analytics, data science & AI, and data sharing/monetization.
    • Serve as the technical quarterback in the account team, orchestrating internal resources (specialists, PS, partners) to execute expansion strategies.
  • Telco & FSI Industry Focus

    • Bring domain perspective on FSI and Telco: typical data estates, regulatory & compliance concerns, and common analytics/AI use cases.
    • Advise on how Snowflake addresses data residency, security, governance, and regulatory expectations in these industries.
    • Develop and reuse industry-specific solution patterns, demos, and assets that resonate with FSI and Telco stakeholders.
  • Solution Design, Demos & POCs

    • Design and deliver compelling demos and technical narratives tailored to each customer’s architecture and use cases.
    • Lead and execute POCs/Pilots that prove value and de-risk platform decisions, including success criteria definition and joint execution plans.
    • Translate complex technical capabilities into clear business value and ROI for senior non-technical audiences.
  • Technical Governance & Best Practices

    • Guide customers on best practices for data modeling, performance optimization, cost governance, security, and operations on Snowflake.
    • Help customers standardize on Snowflake as their enterprise data foundation, including migration strategies from legacy platforms.
    • Review and advise on architectural decisions, reference architectures, and implementation designs.
  • Cross-Functional & Partner Collaboration

    • Collaborate closely with Sales, Customer Success, Professional Services, Product, and Partners to ensure successful customer outcomes.
    • Work with SI, ISV, and cloud partners to incorporate their solutions into customer architectures where relevant.
    • Capture and relay field feedback to Product and Engineering to influence roadmap priorities, especially for FSI/Telco needs.
  • Thought Leadership & Evangelism

    • Represent Snowflake at customer workshops, executive briefings, industry events, and community meetups.
    • Create and share technical content (presentations, reference architectures, playbooks, demos) that supports expansion in FSI and Telco.
    • Mentor more junior SEs and contribute to SE best practices and knowledge sharing within the region.

Requirements

  • 7+ years of experience in a customer-facing technical role (Solutions Engineer, Pre-Sales Architect, Data Architect, or similar) in the data/analytics or cloud space.
  • Strong hands-on expertise with cloud data platforms, data warehousing, or big data technologies (e.g., Snowflake, SQL data warehouses, Hadoop/Spark, cloud-native data services).
  • Proficiency in SQL and experience with one or more programming languages commonly used in data/analytics (e.g., Python).
  • Proven ability to design and communicate architectures for data integration, warehousing, BI/analytics, and data science/ML workloads.
  • Industry experience or strong exposure in FSI and/or Telco, such as working with:
    • Banks, insurers, capital markets, or payment providers, and/or
    • Telco operators, cable/media, or digital service providers.
  • Demonstrated success in driving technical win and expansion in enterprise accounts, ideally in a subscription or consumption-based model.
  • Excellent communication and presentation skills, comfortable engaging both deep technical teams and senior business/IT executives.
  • Ability to work independently and collaboratively in a fast-paced, high-growth environment, managing multiple complex opportunities in parallel.
  • Based in Malaysia, with ability to travel within the region as needed.

Nice to Have

  • Hands-on experience with Snowflake or similar cloud-native data platforms, including:
    • Data ingestion & transformation
    • Performance tuning & cost governance
    • Security, data masking, and governance
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their data/analytics ecosystems.
  • Understanding of regulatory and compliance landscapes relevant to FSI and Telco (e.g., data residency, Bank Negara Malaysia (BNM) and regional guidelines, industry standards).
  • Experience with analytics/BI tools (e.g., Tableau, Power BI, Looker) and/or data science & ML frameworks.
  • Prior experience in a field pre-sales role at a data platform, cloud provider, or analytics/AI company.

We Offer

  • Opportunity to work with a fast-growing, innovative company.
  • Be part of a team that is shaping the future of data, analytics, and AI.
  • Competitive compensation and benefits.
  • Remote work options.

About the Company

At Snowflake, we are committed to empowering businesses to leverage data for transformative insights and innovation. Our mission is to enable every organization to use data as a strategic asset, driving growth and efficiency. Join us in revolutionizing how data is used to power the future.

© Snowflake. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Snowflake

Cloud Computing,Data Management,Artificial Intelligence

About the Company Snowflake is a cloud-native data platform launched in 2012 by a team of data experts who identified limitations in traditional databases. The company has a strong presence in Poland, with a technical hub in Warsaw. Snowflake offers an international work environment with opportunities for skill development and collaboration with industry experts. Products, Services & Tech Stack Core Solutions: Data processing and management platform. Technologies & Frameworks: Specific technologies and frameworks are not detailed in the provided text. Project Scope & Target Clients Client Base: Not specified. Engineering Scale: Not specified.

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