Manager - Data Quality Engineering

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆𝘀 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.

• 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.

• 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.
• Bachelors 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.