Role: Data QE Lead (Martech, Personalization)
Location San Ramon, CA or Beverly Hills, CA (5 Days Onsite)
Exp: 12+ Years
Key Responsibilities
Data Quality Engineering
• Define and own the QE strategy for data assets including customer, product, inventory, transaction, and behavioral event data
• Design and implement data validation frameworks covering completeness, accuracy, consistency, timeliness, and referential integrity
• Lead testing of ETL/ELT pipelines, data lake and warehouse layers (raw, curated, consumption), and real-time streaming pipelines
• Establish data contract testing practices between producing and consuming systems
• Build automated data quality monitors and alerting that operate continuously in production environments
• Partner with data governance and data stewardship teams to align QE standards with enterprise data policies
eCommerce Platform Integration Testing
• Test integrations between the eCommerce platform and downstream data consumers including CDP, CRM, marketing automation, and analytics tools
• Validate real-time personalization pipelines for homepage, PDP, cart, and post-purchase experiences
• Ensure data quality for key eCommerce events: product views, add-to-cart, checkout, order confirmation, returns, and search queries
Cross-Functional Partnership
• Collaborate with data scientists, data engineers, product managers, and business analysts to define acceptance criteria for data and AI deliverables
• Champion a culture of data quality ownership across data producers and consumers in the eCommerce organization
Qualifications
Required
• 7+ years in data or quality engineering, with at least 2 years leading a team or technical discipline
• Proven experience testing data pipelines (batch and streaming) across modern data stack technologies (Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, Databricks, or similar)
• Hands-on experience with Martech and Personalization space is a must.
• Strong SQL skills and proficiency in Python for data validation scripting and test automation
• Familiarity with eCommerce data domains: customer behavior, product catalog, order management, inventory, and digital marketing
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