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Job description
Job Description: Technical Lead - Data Quality & Migration Validation | Offshore, India | 10+ years 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.
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About this listing
- Source: Anblicks's official careers site · still listed there on 9 Nov 2026
- Posted 11 Aug 2026
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What they are looking for
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Qualification
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.
Department · Data Analytics
Hiring company
Anblicks
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