Description

You own the end-to-end data quality assurance strategy for enterprise data pipelines and analytics platforms.

This role is hybrid.

Responsibilities

• Develop and maintain enterprise data quality standards, validation rules, and monitoring procedures.
• Create comprehensive test plans and test cases for ETL pipelines, dashboards, and end-to-end data workflows.
• Validate data accuracy, completeness, consistency, and compliance with business rules across staging and analytics layers.
• Monitor technical integrity and performance of enterprise data pipelines and support cloud migration validations.
• Collaborate with data stewards and business teams to resolve complex data quality issues and support governance initiatives.

Required Skills

• 5+ years of experience in Data Quality Assurance and Data Validation.
• Strong SQL skills for data validation and quality analysis.
• Experience with Cloud Data Platforms, preferably Snowflake.
• Familiarity with AWS Cloud Services.
• Knowledge of Data Governance, Data Lineage, Metadata, and Business Rules.
• Experience with Tableau, Power BI, or AWS QuickSight.
• Understanding of Enterprise Data Warehousing and modern data platforms.

Preferred Skills

• Bachelor's Degree in Computer Science, Business, Public Health, STEM, or related discipline.
• Experience supporting production deployments and onboarding new data sources.

Key Skills

Education

Bachelor's degree