Lead Data Quality Assurance Engineer

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters – to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

In partnership with Enterprise Data Management (EDM), the Lead Data QA Engineer will play a key role in a long-term strategic initiative to unify and harmonize investment data across MFS. This initiative supports enhanced investment decision-making, risk management, and client reporting for our multi-asset platform by delivering consistent, timely, accurate, and reliable data to investment professionals, risk teams, and clients.

We are seeking a hands-on, detail-oriented quality engineering leader with experience in financial instruments, investment data, and analytics. The ideal candidate brings a strong engineering mindset to data quality and testing, with a focus on building scalable automation frameworks rather than relying on manual validation. This individual will help define and implement QA strategies across traditional and alternative asset classes while developing innovative and flexible solutions to evolving business and technology needs.

The Enterprise Data Management team is seeking a Lead Data QA Engineer to lead the design, implementation, and continuous improvement of automated data quality and validation solutions for our unified data platform. This role will work closely with data engineers, platform engineers, product owners, investment professionals, and external data providers in an Agile, collaborative environment. The position offers an opportunity to establish quality engineering best practices and help shape the future of investment data at MFS.

• →Lead the design, development, and implementation of automated data testing and validation frameworks to ensure the quality, accuracy, completeness, and reliability of data within the unified data platform.
• →Define and drive the overall Data QA strategy, including test planning, automation, regression testing, integration testing, reconciliation, and production data validation.
• →Develop reusable, scalable automated testing capabilities for data pipelines, transformations, business rules, APIs, databases, and data products.
• →Establish comprehensive test coverage across data sourced from internal systems, external vendors, and third-party providers.
• →Validate complex investment data, including financial instruments, security master/reference data, transactions, positions, pricing, and related datasets.
• →Develop automated controls for data completeness, accuracy, consistency, timeliness, uniqueness, integrity, and reconciliation.
• →Partner with data engineers and business stakeholders to translate business and data requirements into test scenarios, acceptance criteria, and automated test cases.
• →Lead testing throughout the SDLC, including functional, integration, regression, end-to-end, performance, and production validation.
• →Integrate automated data quality testing into CI/CD pipelines to enable early detection of defects and support reliable software and data releases.
• →Implement monitoring, alerting, data observability, and quality metrics to proactively identify data issues and emerging quality trends.
• →Lead root-cause analysis of complex data defects and pipeline failures, working with engineering and business teams through resolution.
• →Define Data QA standards, best practices, controls, and quality metrics while mentoring engineers and promoting a strong quality engineering culture.
• →Drive continuous improvement in data quality, test automation, platform resiliency, operational controls, and engineering efficiency.
• →Provide technical leadership during production incidents and support resolution of critical data quality issues and unexpected outages.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline.
• 5+ years of experience in data quality engineering, data testing, QA automation, data engineering, or related roles, including experience leading complex data quality initiatives.
• Strong experience designing and building automated testing frameworks for large-scale data platforms, data pipelines, and data transformations.
• Advanced SQL skills and demonstrated ability to validate complex datasets, transformations, reconciliation rules, and business logic.
• Strong programming and test automation experience using Python or comparable languages and frameworks.
• Experience testing ETL/ELT pipelines, data warehouses, APIs, databases, and cloud-based data platforms.
• Experience with Snowflake and cloud-native data technologies strongly preferred.
• Strong understanding of data quality dimensions, data observability, metadata, lineage, data governance, and data catalog concepts.
• Experience integrating automated testing into CI/CD and DevOps processes.
• Strong understanding of Agile SDLC practices and experience partnering closely with engineering, product, and business teams.
• Experience with financial services and investment data—including financial instruments, securities, transactions, positions, pricing, or reference data—is highly desirable.
• Strong analytical and troubleshooting skills with demonstrated ability to identify root causes across complex data pipelines and distributed systems.
• Demonstrated technical leadership, including the ability to establish QA standards, provide technical guidance, mentor team members, and influence engineering practices across teams.
• Strong written and verbal communication skills with the ability to collaborate effectively with technical teams, investment professionals, business stakeholders, and external vendors.

Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for sponsorship.

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At MFS, we believe in fair and transparent compensation. For that reason, we’re including the salary range for this position. This range reflects our good-faith expectation for what we’ll pay depending on the candidate’s experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensation based on both individual and company performance. Other components of our Total Rewards Package include:

• MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k) 

• Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider

• Education Assistance: Tuition reimbursement up to $8,000 annually 

• Education Assistance: Access to discounted tutors and college coaches

• Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves

• Choice of medical and dental plans and an and an employer contribution into the Health Savings Account

• Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)

• Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps

Our compensation philosophy is to pay competitively for talent while ensuring equity across employees performing comparable work. We are committed to transparency – if you have questions about how we arrived at this range or what additional benefits and bonus opportunities come with the role, we’ll be happy to discuss them

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At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others.

MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting.

If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance. 

MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.