Principal Data QA Engineer - Snowflake Data Quality

Namely; Mountain View (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Namely is seeking a Principal Data Engineer - QA to lead the quality engineering practice for a modern enterprise data platform. The role is hands-on, writing SQL tests and Python automation while defining what constitutes trusted data across the company.

You will own end-to-end QA strategy, build scalable testing frameworks, and mentor the team to raise the data quality bar. Executive visibility and impact on critical analytics are core aspects.

Qualifications

• 7+ years in Quality Engineering with a strong focus on data, analytics, or data warehouse testing.
• Hands-on with Snowflake-based data platforms or equivalent modern cloud data warehouses.
• Strong experience testing dbt transformations including models, snapshots, seeds, and incremental logic.
• Write automation code yourself: Python frameworks, SQL test suites, monitoring scripts.
• Understand dimensional modeling, ELT architecture, conformed dimensions, grain, and idempotency at a foundational level.
• Identify gaps and propose solutions rather than just reporting issues.
• Stay current with new testing approaches and platform features.

Responsibilities

• Own end-to-end QA and test strategy for enterprise data and analytics platforms while remaining hands-on.
• Design, build, and maintain scalable automated testing frameworks for data validation, regression, and monitoring.
• Lead test automation using SQL and Python to validate Snowflake data models, dbt transformations, and downstream analytics.
• Apply AI-driven testing techniques to improve coverage and efficiency.
• Partner with Data Engineering to embed quality directly into dbt models, ELT pipelines, and orchestration workflows.
• Validate analytics across Tableau, Salesforce, and downstream consumer tools for metric accuracy.
• Define and enforce data quality standards, SLAs, and KPIs across business functions.
• Perform root cause analysis on data issues and own fixes through to resolution.
• Mentor QA and data engineers through design reviews and automation code reviews.
• Communicate quality risks and readiness to business and IT leadership.

Skills

Quality engineering

Data testing

Snowflake testing

dbt testing

Python automation

SQL testing

Data observability

Education

Bachelor's degree in CS/Eng

Tools

Snowflake

dbt

Matillion

Tableau

Salesforce

Great Expectations

Monte Carlo

Job description

Namely is seeking a Principal Data Engineer - QA to lead the quality engineering practice for a modern enterprise data platform. The role is hands-on, writing SQL tests and Python automation while defining what constitutes trusted data across the company.

You will own end-to-end QA strategy, build scalable testing frameworks, and mentor the team to raise the data quality bar. Executive visibility and impact on critical analytics are core aspects.