Description
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.
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.
Responsibilities
- 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
- Help customers adopt Snowflake Cortex AI features, such as Cortex AI SQL 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
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 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
Nice to Have
- 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
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