Tech Lead - Data Quality

Anblicks; Hyderabad; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Anblicks in India is seeking a Data Quality Technical Lead to own the validation framework for migration projects, including reconciliation strategies and cutover verification.

You will lead QA engineers across client engagements, build automated validation tooling, and define Go/No-Go quality gates to ensure data integrity through complex platform migrations.

Qualifications

• 10+ years in data engineering/QA, with leadership of validation for large data migrations.
• Extensive experience with validation in data platform modernization, cloud migrations, and cutover planning.
• Strong SQL and scripting skills; experience building automated comparison frameworks (dbt tests, Great Expectations).
• MarTech data experience (audiences, suppressions, campaign outputs) is a plus.

Responsibilities

• Design and own reconciliation strategy and tooling for migrations.
• Build and maintain parallel-run comparison harness and quality gates.
• Set QA standards and support user acceptance and cutover verification.
• Lead QA engineers across concurrent client engagements.

Skills

Data quality leadership

QA leadership

Validation strategy

SQL

Scripting

Tools

dbt tests

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.
• 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.