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Snowflake

Senior Solution Engineer (Expansion)

SG-Singapore
Level
Senior

Not stated in the posting: salary, work type, visa.

Open. First seen 15 October 2026.

Apply on the company's site →

About the role

Snowflake's standard text

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.

Senior Solution Engineer (Expansion Patch)

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.
Snowflake's standard text

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

What this role asks for

Particular to this role

Apache Iceberg · Delta Lake · dbt

Rare in Snowflake's other 214 open postings.

Standard for solutions / sales engineering roles

Python

Common in solutions / sales engineering postings at any company.

78% of this description is written for the role. The rest is Snowflake's standard text, folded away below.

Read against Snowflake's other open postings on this site.

The team: Solution Engineering HIRES STEADILY

This role is one of 44 open in Solution Engineering. 14 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Snowflake (44 of 44), SQL (37 of 44), Python (36 of 44), Data Warehousing (27 of 44), Machine Learning (27 of 44), Generative AI (18 of 44), Spark (18 of 44)

OTHER ROLES ON THIS TEAM

From the team and dates on Snowflake's own job board.

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