About the role
Anblicks is seeking a Data Quality Technical Lead to own the validation framework for a portfolio of data platform migrations: the reconciliation strategy, parallel-run comparison harness, and quality gates that decide every cutover.
Key Responsibilities- Design and own reconciliation strategy and tooling: row-level, aggregate, and business-rule validation across migrations.- Build the parallel-run comparison harness and tolerance models; define Go/No-Go quality gates.- Set QA standards across delivery teams; support user acceptance and cutover verification.- Lead QA engineers across concurrent client engagements.
Qualifications- 10+ years in data engineering/QA; has led validation for large data migrations.- Deep experience with validation strategies within data platform modernization programs (legacy to modern cloud platforms), including AI-enabled and accelerator-driven delivery, migration planning, data validation and reconciliation strategies, parallel runs, and cutover execution.- Strong SQL and scripting; automated comparison frameworks (dbt tests, Great Expectations or similar).- MarTech data (audiences, suppressions, campaign outputs) a plus.