Technical Architect

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.

Our Frontier Engineering team helps customers across Asia Pacific get real value from the Snowflake AI Data Cloud. As a Technical Architect based in Singapore, you will work hands-on with customer and partner teams to design, build, and launch data solutions that solve real business problems.

• Design and deliver customer solutions on Snowflake across data warehousing, open lakehouse with Apache Iceberg tables, data engineering, and secure data sharing

• Build batch and streaming ingestion and data transformation pipelines using Snowflake features like Openflow, dbt projects on Snowflake,Snowpipe, Streams and Tasks, Dynamic Tables, and Snowpark (Python, Java, or Scala)

• Implement Snowflake security and governance best practices, including role-based access control, masking and row access policies, data quality framework and Snowflake Horizon Catalog

• Design and implement open lakehouse architectures leveraging Snowflake-managed Iceberg tables & interoperability with open table formats.

• Architect & enable secure, zero-copy data collaboration across business units and external partners utilizing Snowflake Data Sharing, Secure Views, and Clean Rooms.

• Design, build & deploy scalable data applications across the Snowflake AI Data Cloud, leveraging the Native App Framework, SPCS, App runtime,  Streamlit in Snowflake to productionize secure, containerized workflows and interactive UI tools.

• Customers adopt Snowflake Cortex AI features, such as Cortex AISQL functions, Cortex Search, and Cortex Analyst, CoCo to bring AI to their data. Deploy ML Ops

• Set up automated deployment (e.g. DCM, Git integration, GitHub Actions) for repeatable, governed releases. 

• Create comprehensive documentation and execute effective knowledge transfer to ensure customers are fully enabled to maintain, optimize and extend Snowflake solutions with optimum performance and cost.

• Partner with System Integrators, and share field feedback with Snowflake Product and Engineering teams.

• 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 skills in SQL and Python building data intensive use cases

• Experience designing data warehouse, data lake, or lakehouse solutions for Enterprise customers

• 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 both technical teams and business stakeholders

• Ability to travel to customer sites within the region as needed

• A degree in computer science, engineering, or a related field, or equivalent practical experience

• Snowflake SnowPro Core or Advanced certifications

• Experience with Apache Spark or Databricks

• Delivery experience on large data platform migrations

• Industry knowledge in financial services, Telco, Retail, or Public sector

• Hands-on experience with Enterprise AI  or LLM-based use cases

You will work on some of the most exciting data and AI projects in the region, alongside customers who are building their future on Snowflake. Our Frontier Engineering  team gives you direct exposure to new product capabilities, a strong community of experts, and room to grow your career as Snowflake expands across Asia Pacific.

How do you want to make your impact?

Skills

Ai, Business Stakeholder Management, Customer Facing Skills, ETL Tools, Data Warehouse Architectures, SQL Programming, Data Lake, Liaise With Technical Teams, Python, Cloud-Based Platform