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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 low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test 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.
Location: SG-Singapore | Team: Frontier Engineering
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 low-ego 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
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
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