Technical Architect (Snowflake)

Location: Singapore; hybrid workplace with travel to customer sites within the region as needed

Company

Snowflake provides the Snowflake AI Data Cloud, helping enterprises build and operate data, AI, and analytics solutions.

What you will do

• Design and deliver customer solutions across data warehousing, open lakehouse architectures with Apache Iceberg, data engineering, and secure data sharing.
• Build batch and streaming ingestion and transformation pipelines using Openflow, dbt, Snowpipe, Streams and Tasks, Dynamic Tables, and Snowpark.
• Implement security, governance, access control, data quality, and catalog capabilities.
• Design secure data collaboration and scalable data applications using Data Sharing, Clean Rooms, Native App Framework, SPCS, Streamlit, and containerized workflows.
• Enable Snowflake Cortex AI features and ML Ops use cases, and establish automated deployment through Git integrations and CI/CD tooling.
• Document solutions, transfer knowledge to customers, partner with system integrators, and share feedback with Product and Engineering teams.

Requirements

• 5+ years of experience in a customer-facing technical role such as consulting, data engineering, or solutions architecture, with 8+ years of overall technology experience.
• Strong hands-on SQL and Python skills for data-intensive use cases.
• Experience designing enterprise data warehouse, data lake, or lakehouse solutions.
• Working knowledge of at least one major cloud platform: AWS, Azure, or GCP.
• Experience with ETL/ELT and orchestration tools such as dbt, Informatica, Matillion, Fivetran, or Airflow.
• Clear communication with technical teams and business stakeholders.
• A degree in computer science, engineering, or a related field, or equivalent practical experience.
• Ability to travel to customer sites within the region as needed.

Nice to have

• Snowflake SnowPro Core or Advanced certification.
• Experience with Apache Spark or Databricks.
• Experience delivering large data platform migrations.
• Industry knowledge in financial services, telecommunications, retail, or the public sector.
• Hands-on experience with enterprise AI or LLM-based use cases.

Culture & Benefits

• Hybrid work in Singapore within the Frontier Engineering team.
• Customer-focused environment centered on impact, innovation, collaboration, and experimentation.
• Work with customers and partners across Asia Pacific on Snowflake AI Data Cloud solutions.
• Full-time employment in Snowflake's Professional Services organization.