Tech Lead - Data Quality

Anblicks Inc.; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Anblicks Inc. is seeking a Data Quality Technical Lead to own validation for data migrations, including the reconciliation strategy and parallel-run harness. You will define quality gates and ensure data accuracy across migration waves.

Key focus areas include SQL-driven validation, automated comparison frameworks, and setting QA standards across delivery teams to support successful cutovers.

Qualifications

• 10+ years in data engineering/QA with leadership in large data migrations.
• Experience with validation strategies in data platform modernization including parallel runs.
• Strong SQL and scripting, and automated comparison frameworks like dbt tests or Great Expectations.
• MarTech data experience is a plus.

Responsibilities

• Design and own reconciliation strategy and tooling for migrations.
• Build the parallel-run comparison harness and define Go/No-Go quality gates.
• Set QA standards across delivery teams and support cutover verification.

Skills

SQL

Scripting

Data validation

Migration validation

dbt tests

Great Expectations

Quality gates

Parallel runs

Validation framework design

Leadership

Tools

dbt

Great Expectations

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.

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.