Senior Data Quality Engineer

Advisor360° is a leading SaaS platform in the fintech space, transforming how wealth management firms operate. They are seeking a Senior Data Quality Engineer to ensure the quality, accuracy, and reliability of enterprise data platforms and drive quality best practices across the organization.

Responsibilities:

• Lead QA efforts across software and data engineering initiatives
• Define testing strategies, quality standards, and best practices
• Design, develop, and maintain automated test frameworks and regression suites
• Validate ETL/ELT pipelines, data transformations, and data warehouse solutions
• Develop automated data quality checks and reconciliation processes
• Perform end-to-end testing of APIs, applications, and data products
• Analyze large datasets using SQL to identify defects, anomalies, and data quality issues
• Collaborate with engineers to ensure adequate test coverage and quality throughout the development lifecycle
• Lead troubleshooting, root cause analysis, and issue resolution activities
• Participate in release validation, sprint planning, backlog refinement, and other Agile ceremonies
• Mentor team members and contribute to continuous improvement initiatives

Requirements:

• 5+ years of experience in Quality Engineering, Data Quality Engineering, or Software Testing
• Strong experience with SQL, database testing, and data validation
• Experience testing ETL/ELT processes, data transformations, and cloud data platforms
• Strong programming skills in Python and test automation frameworks
• Experience testing REST APIs using tools such as Postman and Swagger
• Experience building and maintaining scalable automation frameworks
• Familiarity with GitHub, Bitbucket, and CI/CD pipelines
• Strong analytical, troubleshooting, and problem-solving skills
• Experience leading QA initiatives and driving quality best practices
• Knowledge of Agile/Scrum methodologies
• Experience with SQL and relational databases; experience with Snowflake and MySQL is preferred
• Experience with dbt is highly preferred
• Experience with data quality/observability tools like Monte Carlo, Sifflet
• Experience using AI-assisted development and testing tools such as Copilot and Augment
• Financial services or fintech experience is a plus