# Technical Architect

**Company**: Snowflake
**Location**: Singapore
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/snowflake/8ca0b89c-45ee-4891-8db0-c7588661986c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/technical-architect-f80c621c-233/

## 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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## Skills

### Required
- SQL
- Python
- data warehousing
- data engineering
- Snowflake
- Apache Iceberg
- dbt
- Snowpipe
- Streams and Tasks
- Dynamic Tables
- Snowpark
- Java
- Scala
- AWS
- Azure
- GCP
- ETL/ELT
- Airflow

### Nice to have
- Snowflake SnowPro Core or Advanced certifications
- Apache Spark
- Databricks
- financial services
- Telco
- Retail
- Public sector
- Enterprise AI
- LLM-based use cases

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/snowflake/8ca0b89c-45ee-4891-8db0-c7588661986c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)