14 hours ago
Singapore, SingaporeSenior
Responsibilities
- Design and deliver Snowflake solutions for data warehousing, lakehouse architectures, data engineering, and secure data sharing.
- Build batch and streaming ingestion and transformation pipelines using Snowflake data engineering features and orchestration tools.
- Implement security, governance, data quality, cataloging, and secure collaboration patterns.
- Design and deploy data applications using Snowflake Native App Framework, SPCS, App Runtime, and Streamlit.
- Enable customer adoption of Snowflake Cortex AI capabilities and deploy MLOps solutions.
- Set up governed automated deployments using DCM, Git integration, and GitHub Actions.
- Document solutions, transfer knowledge, and help customers maintain, optimize, and extend their Snowflake environments.
- Partner with system integrators and provide field feedback to Snowflake Product and Engineering teams.
- Travel to customer sites within the region as needed.
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.
- Ability to communicate clearly with technical teams and business stakeholders.
- Degree in computer science, engineering, or a related field, or equivalent practical experience.
- Snowflake SnowPro Core or Advanced certification is a bonus.
- Experience with Apache Spark, Databricks, large data platform migrations, enterprise AI or LLM-based use cases, or relevant industry domains is preferred.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksdbtGitGitHub ActionsGoogle Cloud PlatformInformaticaJavaPythonScalaSnowflakeSQL
Categories
Data EngineeringSolutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.