Senior Data Quality Analyst

Job Summary

To support the Data Foundry team, the full-time Senior Data Quality Analyst will design, build, and maintain scalable data quality frameworks while leveraging AI-assisted practices to ensure the accuracy, completeness, and consistency of enterprise data across multiple domains.

Key responsibilities

• Develop and automate data quality checks and controls using SQL and Python in a Snowflake environment
• Implement data validation and anomaly detection logic across batch and streaming data pipelines
• Monitor and report on data quality metrics, ensuring compliance with departmental standards and governance

Required qualifications

• Bachelor's degree in a relevant field such as Computer Science or Engineering
• 4+ years of experience in Data Quality Engineering with a focus on automation and frameworks
• 4+ years of experience with SQL for data profiling, reconciliation, and validation
• 3+ years of experience working in a Snowflake environment supporting large-scale data pipelines
• Demonstrated advanced experience leveraging AI for data validation and pipeline management