Senior Solution Engineer

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.