Position Details
About this role
This role involves leading the design and implementation of scalable, reliable data pipelines and models within a risk data environment, ensuring high data quality and observability.
Key Responsibilities
- Lead data pipeline development
- Define data modeling standards
- Manage data quality and observability
- Implement CI/CD for data workflows
- Collaborate with risk data teams
Technical Overview
The technical environment includes Snowflake, dbt, Apache Airflow, CI/CD pipelines, and complex data modeling strategies, supporting risk decisioning processes.
Ideal Candidate
The ideal candidate is a senior data engineer with 5+ years experience in building scalable data pipelines, proficient in Snowflake, dbt, and Airflow, with strong leadership skills and a focus on data quality and observability.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of hands-on experience with Snowflake or dbt, No leadership or team ownership experience, Inability to manage production data pipelines
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