Tech Stack

Description

You will design and evolve scalable data architectures on Snowflake within AWS, define data modeling standards, and architect unified data foundations across multiple GRC product domains. You'll lead implementation and optimization of the modern data stack, including dbt, Airbyte, and Fivetran, and drive DevOps practices for platform reliability. You will also design data models and pipelines optimized for AI/ML workloads and partner with global stakeholders to translate business requirements into technical solutions.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related field
• 8-10 years experience in Data Engineering / Data Architecture / Cloud Data Platform roles
• Proven experience with Snowflake, dbt, Terraform, Airbyte, and Fivetran
• Extensive experience with AWS cloud services
• Strong knowledge of SQL and data modeling techniques

Responsibilities

• Design and evolve scalable data architectures on Snowflake within AWS
• Define data modeling standards (dimensional, data vault, semantic-ready models)
• Lead implementation and optimization of modern data stack tools (dbt, Airbyte, Fivetran, Airflow, Terraform)
• Design data models and pipelines optimized for AI/ML workloads and LLM-based use cases
• Own reliability, performance optimization, and cost management of the data platform