Data Quality engineer

Martech Data team is looking for a Quality Engineer with strong expertise in data validation and quality assurance to support critical Data initiatives like CDP driven campaigns, Lead qualifications Architecture Uplift, and Data Governance & Trust.

The Quality Engineer will work closely with Product Manager, Data Engineers, Marketing SMEs to design and execute validation strategies that safeguard the integrity of customer data flows and enable reliable analytics and business outcomes.

Key Responsibilities

• Define and execute validation strategies for data pipelines, integrations, and transformations across Segment, SFMC, Snowflake, and downstream dashboards.
• Create and maintain automated data quality checks, test scripts, and regression suites to validate accuracy, completeness, and consistency of data.
• Support adoption of Trust the Data framework and ensure alignment with Medallion architecture (Bronze → Silver → Gold views).
• Validate logic used for user segmentation, lead qualification and such marketing activities
• Partner with Product Managers and Data Engineering teams to define acceptance criteria and test coverage for user stories in ADO / Jira.
• Work with product manager to ensure validated data supports marketing KPIs (campaign ROI, funnel conversion, lead quality, data accuracy %).
• Support onboarding of priority datasets into SODA DQ Scorecards and assist in interpreting data quality scores.
• Maintain test documentation, validation reports, and sign-offs for compliance and audit readiness.

Required Skills

Preferred Experience

Skills Required

Ado, Jira, Sql, ELT, Git, Confluence, Salesforce Marketing Cloud, SoDA, Etl