# Senior Solution Engineer (Expansion)

**Company**: Snowflake
**Location**: Singapore
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/snowflake/53062740-a42c-4fd2-8c33-c4d5dbee27bf?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_67f616bf-64b

## Description

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.

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.

## Skills

### Required
- modern data stacks
- ETL/ELT
- data warehouse/lake
- data science
- Gen AI
- Data Apps
- Open Data Architecture Mastery
- Apache Iceberg
- Delta Lake
- Apache Hudi
- object storage optimization
- catalog management
- Python
- SQL
- distributed compute frameworks
- Apache Spark
- PySpark
- dbt
- Cloud Infrastructure
- AWS
- Azure
- GCP

### Nice to have
- large-scale cloud data and ai platforms
- Programming/scripting experience
- enterprise data/analytics platforms
- stakeholder management
- value-based selling skills
- Degree in Computer Science
- Engineering
- Mathematics
- related field skills
- Lakehouse architectures
- AI
- ML
- Generative AI workloads
- integrations in multi-stack Data and AI estate
- regional financial services technology regulations

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/snowflake/53062740-a42c-4fd2-8c33-c4d5dbee27bf?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)