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Open nowPosted today

Senior Solution Engineer

MyCareersFuture95,505 open roles

Pay
SGD 20,600 – SGD 31,000 a Monthly
Where
Central, Singapore
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Your applicationOpen nowSenior Solution EngineerMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

10.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 8 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.0%3 days
  3. 10.1%7 days
  4. 15.8%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 8 days open

The posting

As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Digital Native sectors.

You will partner closely with Account Executives to drive adoption, workload expansion, and multi‑line-of-business growth across your accounts. You will act as a trusted advisor to senior technical and business stakeholders, guiding them on how to use Snowflake as the core of their data, analytics, and AI strategy.

This is a field-facing, customer-first role that combines deep technical skills, strong industry context , and the ability to design and communicate high‑impact architectures.

KEY RESPONSIBILITIES:

Drive Adoption in Existing Accounts

  • Own the technical expansion strategy for a portfolio of Snowflake customers in Singapore.
  • Identify and map customer business objectives to workloads, use cases, and lines of business that will benefit from Snowflake AI Data Cloud.

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.

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.

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).

MINIMUM REQUIREMENTS:

  • Extensive 10 years working experience in customer facing solution engineering role
  • Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science, Gen AI and Data Apps
  • Open Data Architecture Mastery: Proven experience implementing or migrating architectures to Apache Iceberg, Delta Lake, or Apache Hudi. Solid understanding of object storage optimization (Parquet/ORC layouts) and catalog management (Project Nessie, Polaris, Hive Metastore).
  • Data Engineering Stack: Advanced proficiency in Python and SQL. Extensive experience with distributed compute frameworks (Apache Spark, PySpark) and modern data stack tools like dbt.
  • Cloud Infrastructure: Hands-on experience architecting data solutions within major cloud platforms (AWS, Azure, or GCP), specifically around networking and security .
  • Excellent ability to present to both technical and executive audiences, whether through impromptu whiteboarding or structured presentations and demos.
  • Hands-on expertise with SQL & Spark

STRONGLY DESIRED:

  • Experience with large-scale cloud data and ai platforms
  • Programming/scripting experience (e.g., Python, Java, Spark)
  • Experience selling or supporting enterprise data/analytics platforms
  • Strong stakeholder management and value-based selling skills
  • Degree in Computer Science, Engineering, Mathematics, or related field skills

ADDED BONUS FOR:

  • Hands-on experience with Lakehouse architectures
  • Hands-On experience in Data Science / AI / ML / Generative AI workloads and integrations in multi-stack Data and AI estate
  • Cloud platform experience: AWS, Azure, or GCP
  • Ability to travel on short notice for in-person customer meetings in ASEAN countries (Malaysia, Indonesia)
  • Working knowledge of regional financial services technology regulations, including Singapore MAS TRM, Malaysia BNM RMiT, and Indonesia OJK IT Risk Management frameworks.
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