Senior Solution Engineer (Expansion)

The role

You will be a strategic technical leader for existing enterprise customers in Singapore. You will drive adoption, workload expansion, and multi-line-of-business growth by acting as a trusted advisor on data, analytics, and AI strategy.

What you will do

• Own the technical expansion strategy for a portfolio of Snowflake customers in Singapore.
• Identify and map customer business objectives to workloads and use cases.
• Design and deliver compelling demos and technical narratives.
• Lead and execute POCs/Pilots including success criteria definition and joint execution plans.
• Translate complex technical capabilities into business value and ROI.
• Collaborate with Sales, Customer Success, Professional Services, Product, and Partners.
• Work with SI, ISV, and cloud partners to incorporate solutions into customer architectures.
• Capture and relay field feedback to Product and Engineering.
• Represent Snowflake at customer workshops, executive briefings, industry events, and community meetups.
• Create and share technical content including presentations, reference architectures, playbooks, and demos.

Required qualifications

• 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
• 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
• Hands-on expertise with SQL & Spark

Nice to have

• 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
• 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

About the company

Snowflake is powering the era of the agentic enterprise. The company is growing fast and scaling its team to enable and accelerate growth.