# Manager - Data Quality Engineering

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-19

**Salary:** INR 2,300,000–3,000,000

**Workplace:** on_site

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

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟯𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟯-𝟯𝟬 𝗟𝗣𝗔)

Experience: 9+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experienced **Manager – Data Quality Engineering** to lead data quality initiatives across large-scale data platforms and pipelines. This role combines **technical leadership, data quality engineering, test automation, and people management**, with a strong focus on ensuring the accuracy, completeness, reliability, and integrity of enterprise data.

You will lead a team of Data Quality Engineers, define automation strategies, and work closely with Data Engineering, Product, Analytics, and other technology teams to validate complex ETL processes, business rules, and data transformations.

## Requirements

### Key Responsibilities

-   Lead and mentor a team of **Data Quality Engineers** responsible for validating multiple data pipelines and business domains.
-   Define and implement automation strategies for complex **ETL logic, data transformations, and business rules**.
-   Drive data validation initiatives across platforms such as **Snowflake and Databricks**.
-   Design, enhance, and maintain scalable **data quality and test automation frameworks**.
-   Partner with Data Engineers, Analysts, Product Managers, and other stakeholders to ensure data accuracy, completeness, and consistency.
-   Analyze large-scale datasets to identify **data anomalies, quality issues, and business logic discrepancies**.
-   Establish and improve data quality standards, testing methodologies, and engineering best practices.
-   Integrate automated validation into **CI/CD pipelines** to improve reliability and deployment confidence.
-   Work with technologies such as **Airflow, Spark, Databricks, and Snowflake** to support modern data engineering environments.
-   Lead root-cause analysis and resolution of complex data quality and pipeline issues.
-   Drive quality engineering practices across Agile teams and contribute to technical planning and delivery.
-   Establish processes and metrics to continuously improve data quality and testing effectiveness.
-   Manage **hiring, performance, career development, and technical growth** of team members.
-   Foster a culture of engineering excellence, ownership, collaboration, and accountability.

### What's Makes You a Great Fit

-   **8+ years of professional experience** in software testing, data quality engineering, data engineering, or related technical roles.
-   At least **2 years of experience in technical leadership or engineering management**.
-   Proven experience validating complex **ETL pipelines, data transformations, and business logic** across large-scale systems.
-   Strong proficiency in **Python and SQL**, with experience working with large or terabyte-scale datasets.
-   Strong understanding of **data quality automation, test frameworks, CI/CD, and validation methodologies**.
-   Hands-on experience with **Snowflake, Databricks, Spark, Airflow**, or similar modern data platforms.
-   Strong analytical and problem-solving skills with the ability to investigate complex data issues and determine root causes.
-   Experience implementing quality engineering practices within **Agile development environments**.
-   Proven ability to **hire, mentor, manage, and develop engineering talent**.
-   Strong communication and stakeholder-management skills, with the ability to collaborate across Engineering, Product, Analytics, and Data teams.
-   Bachelor's degree in **Computer Science, Engineering, or a related discipline**, or equivalent practical experience.
-   A strong ownership mindset and passion for building **scalable, reliable, and high-quality data systems**.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/6B78FFC363/apply)

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