# Lead Data Quality Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-19

**Salary:** INR 200,000–2,200,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟮𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟮𝟮 𝗟𝗣𝗔)

Experience: 7+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experienced **Lead Data Quality Engineer** to lead the design, implementation, and continuous improvement of data quality and automated testing strategies across complex data pipelines and business-critical data workflows.

The role combines **data quality engineering, test automation, data engineering, technical leadership, and team development**. The ideal candidate will have strong hands-on expertise in SQL and Python, experience with modern data platforms, and the ability to build scalable testing frameworks for both batch and streaming data environments.

You will play a key role in establishing robust testing practices, preventing data issues before production, and driving strategic data quality initiatives across the organisation.

## Requirements

Key Responsibilities

-   Lead the design and implementation of comprehensive **test strategies** for complex data pipelines, transformations, and business logic.
-   Architect, develop, and continuously improve automated testing frameworks for **batch and streaming data workflows**.
-   Define and establish best practices for data testing, quality validation, monitoring, and **CI/CD integration**.
-   Develop scalable and reusable automated tests using **SQL, Python**, and modern data-testing technologies.
-   Validate data accuracy, completeness, consistency, integrity, and business-rule compliance across large datasets.
-   Partner with Data Engineers and cross-functional teams to design scalable and highly testable data solutions.
-   Identify potential data-quality risks and proactively introduce controls to prevent production issues.
-   Own strategic **data quality initiatives** from planning and stakeholder alignment through execution and measurement.
-   Establish quality standards, testing methodologies, and engineering practices across data workflows.
-   Evaluate and introduce new tools, frameworks, and technologies to improve test automation and coverage.
-   Troubleshoot complex data-quality issues, perform root-cause analysis, and drive sustainable fixes.
-   Integrate automated data testing into development and deployment pipelines.
-   Monitor testing effectiveness, identify coverage gaps, and continuously improve quality processes.
-   Conduct code reviews, test reviews, and technical design reviews to maintain engineering standards.
-   Mentor engineers and provide technical guidance on data testing, automation, debugging, and quality engineering.
-   Manage direct reports where applicable, including coaching, planning, performance support, and professional development.
-   Collaborate with Product, Data, Engineering, Analytics, and other stakeholders to align quality initiatives with business objectives.
-   Maintain technical documentation, testing standards, frameworks, and reusable quality assets.

What Makes You a Great Fit

-   **7+ years of experience** in Data Quality Engineering, Data Engineering, Software Testing, QA Automation, or a related discipline.
-   Strong hands-on expertise in **SQL and Python**, with experience validating and analysing large-scale datasets.
-   Proven experience designing and scaling **automated data testing frameworks**.
-   Strong experience with modern data platforms and technologies such as **Snowflake, Databricks, Spark, and Airflow**.
-   Good understanding of batch and streaming data architectures, ETL/ELT pipelines, data transformations, and data quality principles.
-   Experience defining testing strategies, engineering standards, quality processes, and CI/CD practices for data workflows.
-   Proven ability to lead strategic technical initiatives and drive data quality improvements across teams.
-   Experience mentoring engineers, conducting technical reviews, and supporting engineering team development.
-   Experience managing or leading engineering team members is desirable.
-   Strong debugging, analytical, and problem-solving skills with the ability to anticipate and prevent data issues.
-   Familiarity with **BDD frameworks such as Behave** is an advantage.
-   Experience working with **AWS or other cloud environments** is desirable.
-   Knowledge of data-quality frameworks such as **Great Expectations, Deequ**, or similar custom solutions is an advantage.
-   Strong stakeholder-management, communication, and collaboration skills.
-   Ability to balance hands-on technical execution with leadership, mentoring, and strategic ownership.
-   Bachelor's degree in **Computer Science, Information Technology, Engineering**, or equivalent professional experience.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/2CEF100255/apply)

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