Senior Solution Engineer (Expansion)

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).

Requirements

• Extensive 10 years working experience in customer facing solution engineering role
• Excellent ability to present to both technical and executive audiences, whether through impromptu whiteboarding or structured presentations and demos.

Preferred

• 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
• 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.

MINIMUM REQUIREMENTS

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 .

Hands-on expertise with SQL & Spark

STRONGLY DESIRED

Degree in Computer Science, Engineering, Mathematics, or related field skills

ADDED BONUS FOR

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