Senior Solution Engineer (Expansion)
SG-Singapore · 10+ years experience · Full-time · Posted Sep 23, 2026
At a glance
- Experience
- 10+ years experience
- Employment
- Full-time
- Location
- SG-Singapore
About the role
- 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.
- 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.
Responsibilities
- 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.
- 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.
- 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.
- Represent Snowflake at customer workshops, executive briefings, industry events, and community meetups.
- Create and share technical content (presentations, reference architectures, playbooks, demos).
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)
- Advanced proficiency in Python and SQL
- Extensive experience with distributed compute frameworks (Apache Spark, PySpark) and modern data stack tools like dbt
- 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
Preferred qualifications
- 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
- 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
- Working knowledge of regional financial services technology regulations, including Singapore MAS TRM, Malaysia BNM RMiT, and Indonesia OJK IT Risk Management frameworks
Skills
- Python
- SQL
- Apache Spark
- PySpark
- Dbt
- Apache Iceberg
- Delta Lake
- Apache Hudi
- AWS
- Azure
- GCP
- Java
Show all 13 skills
- Spark
