As a Snowflake Data Platform Engineer, you will be a fully hands-on engineer responsible for building and maintaining Snowflake-based data solutions. You will develop data pipelines, implement best practices, and collaborate with development and analytics teams to enable data-driven insights across the business. This role sits one level below the Architect and focuses on the implementation, optimization, and operation of the Snowflake platform.
Responsibilities
- Design and maintain Snowflake data models, schemas, and pipelines.
- Build and orchestrate ETL/ELT workflows using Dagster or Airflow.
- Implement infrastructure automation with Terraform for Snowflake resources.
- Integrate secure access controls using OAuth-based and OIDC authentication
- Develop and maintain data models in dbt, implementing both dimensional (star/snowflake) and Data Vault approaches.
- Optimize Snowflake workloads, ensuring cost-efficient and performant solutions.
- Ingest and transform data from multiple internal and external systems.
- Collaborate with engineers, analysts, and architects to deliver reliable data services.
- Monitor, troubleshoot, and continuously improve data reliability and platform stability.
Requirements
- Bachelor's/Master's in Computer Science or equivalent with at least 8+ years of professional experience.
- Extensive hands-on experience with Snowflake (development, optimization, and administration fundamentals).
- Proficiency with dbt for model development, testing, data quality checks, and deployment.
- Understanding of Data Vault 2.0 and dimensional (star/3NF) modeling principles.
- Terraform for infrastructure automation (especially Snowflake roles, warehouses, and integrations).
- Practical use of Dagster or Airflow for orchestration.
- Working knowledge of AWS services (particularly S3 and IAM).
- Familiarity with OAuth and secure access patterns.
- Strong programming skills in Python and/or Java.
- Strong understanding of ETL, data warehousing, and data lifecycle management concepts.
This job was posted by S Kritika from Curl Analytics.
