Deloitte—Assistant Manager | QA | Bengaluru | Engineering as a Service/ Operate

Job description

Description: About the Role The Manager, Data Quality Engineering (M2) leads a team of Data Quality Engineers responsible for ensuring the accuracy, reliability, and integrity of large-scale data platforms and pipelines. This role drives quality strategy, automation initiatives, and engineering excellence while partnering with Data Engineering, Product, and Analytics teams to deliver trusted, business-critical data solutions. Responsibilities - Lead and mentor a team of Data Quality Engineers across multiple projects and domains. - Define and execute data quality, automation, and testing strategies for enterprise-scale data platforms. - Drive validation of ETL pipelines, business rules, data transformations, and analytics workflows. - Partner with Data Engineers, Product Managers, and Analysts to ensure data accuracy and trustworthiness. - Oversee the design, development, and maintenance of scalable test automation frameworks. - Establish quality standards, best practices, and governance across data engineering teams. - Drive CI/CD integration and automated quality checks within data pipelines. - Support hiring, performance management, career growth, and team development. - Lead technical initiatives and promote continuous improvement across quality engineering processes. - Influence long-term quality strategy, tooling decisions, and organizational effectiveness. Requirements - 8+ years of experience in Data Quality Engineering, Software Testing, or Data Engineering. - 2+ years of experience in technical leadership or people management roles. - Strong expertise in SQL and Python for validating large-scale datasets and data workflows. - Experience with Snowflake, Databricks, Airflow, Spark, and modern data platforms. - Proven experience building and scaling data quality automation frameworks. - Strong understanding of ETL validation, data transformations, and business rule testing. - Experience implementing CI/CD pipelines, quality controls, and testing best practices. - Demonstrated ability to mentor, coach, and develop engineering talent. - Strong communication, stakeholder management, and cross-functional collaboration skills. - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Success at M2 - Builds High-Performing Teams through coaching, mentorship, and strong leadership. - Drives Data Quality Excellence with scalable automation and testing strategies. - Improves Data Reliability across critical business platforms and pipelines. - Establishes Engineering Standards that increase efficiency, consistency, and quality. - Delivers Organizational Impact by ensuring trusted data for business and product decisions.