Remote Data Quality Assurance Engineer – Monterrey, Nuevo León (Mexico). Role Overview We are seeking a highly skilled Senior Data Quality Assurance Engineer to lead data validation and data quality assurance for a large-scale cloud modernization initiative. In this senior technical leadership role, you will ensure the delivery of reliable, high-quality data solutions across enterprise systems by driving best practices in data quality, ETL processes, and data standardization. You will develop and implement comprehensive testing strategies for data migration, integration, and transformation, while partnering with cross-functional teams to enable automated data quality assurance and operational excellence. This position offers the opportunity to shape trusted, cloud-based data solutions that power analytics, AI/ML, and digital innovation across the organization at a global scale. Job Duties Lead QA planning, strategy, and execution for data migration projects with multiple concurrent releases. Provide guidance and mentorship to the DQA team (onshore, offshore, nearshore) to ensure timely, accurate test completion and defect resolution. Foster a culture of accountability, collaboration, and continuous improvement across teams. Serve as the primary escalation point for Data Quality Assurance (DQA) and User Acceptance Testing (UAT). Stay current with emerging technologies and best practices in test strategies, automation, and quality engineering. Testing & Automation Design and implement scalable test automation frameworks for validating data pipelines and transformations. Develop and maintain automated test scripts for ingestion, transformation, and output validation to ensure comprehensive coverage. Support development teams in adopting shift-left testing practices to improve quality early in the lifecycle. Drive quality innovation through new technologies, testing tools, and automation solutions. Compliance & Governance Ensure adherence to data quality dimensions, industry best practices, SOX compliance, and security policies to maintain data integrity and confidentiality. Maintain detailed audit trails and documentation to support internal and external reviews. Drive process compliance and governance through accurate reporting and documentation. Reporting & Communication Deliver clear, actionable reporting on test execution, coverage, and defect trends to inform leadership decisions. Provide go/no-go recommendations based on test results and risk assessments. Promote technical excellence and knowledge sharing across teams. Collaborate in daily stand-up meetings. What makes you a dream candidate? Knowledge Champions a data quality-first mindset with exceptional attention to detail and accuracy. Deep expertise in data profiling, validation, standardization, and cleansing to ensure trusted data assets. Experience in large-scale data migrations, including on-premises to cloud transitions, Medallion architecture, data warehousing, lakehouse, and delta frameworks. Proficient in Python and Unix/Linux scripting. Solid understanding of project management, agile, and SDLC principles. Proven ability to design and implement robust data quality test cases, constraints and triggers with a strong emphasis on anomaly detection and prevention (left shift). Skills Exceptional communication skills with the ability to translate technical concepts into business value while fostering stakeholder trust and collaboration. Strong organizational and time management capabilities, ensuring effective prioritization and timely delivery. Proven track record of driving process improvements and implementing automation techniques to enhance efficiency and quality. Ability to apply critical thinking and creativity to solve complex problems, make informed decisions independently, and thrive in a fast-paced environment. Qualifications Data migration experience is a plus. Bachelor’s Degree in related field or equivalent experience required. 4+ years of hands‑on experience in data quality or data governance role with a focus on test data management, including at least 2 years in a lead or senior QA role. 5+ years of advanced experience querying complex data structures and performing root‑cause analysis. Advanced knowledge of ETL process and techniques. Benefits Grocery Tickets – 12% Saving funds – 13% of base salary 30 days of Christmas bonus 12 days of vacations 50% Vacation bonus 5 personal days per year Medical insurance (You and your family) Life insurance Equal Opportunity Employer Statement NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For Pay Transparency information, please contact the HR department. If you'd like more information on your EEO rights under the law, please contact the HR department. #J-18808-Ljbffr