Software Engineering Lead Data Engineer

# Software Engineering Lead Data EngineerMFS Investments Boston, MAFull-Time Sep 10, 2026

Engineering##

Job Description 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.
** THE ROLE
** In conjunction with the Enterprise Data Management Office, the Lead Data Engineer contributes to a long-term strategic initiative to unify and harmonize our investment data. This initiative enables enhanced investment decision making, risk management and client reporting for our multi-asset platform by delivering consistent, timely, accurate and user-friendly data to investors, risk teams and clients.

Are you a hands-on and detailed-oriented individual working on the cutting edge of financial instruments, investment data, and analytics? Are you interested in investment data strategies across a wide variety of traditional and alternative asset classes? Are you a thinker who enjoys devising innovative and flexible business solutions to meet emerging business needs?

The MFS Enterprise Data Management Office is actively searching for a Lead Data Engineer to implement data engineering and analytics solutions. Primary responsibilities include full implementation and maintenance of data ingestion, data maintenance, data validation and data delivery of investment data. We are looking for someone who thrives in an agile, collaborative, team-based environment, working closely with technology peers across MFS, investment professionals and key vendor partners.

This position offers the opportunity to shape the future of investment data at MFS.
** WHAT YOU WILL DO
*** Design, develop, and implement data pipelines to maintain the unified data platform for the Enterprise Data Management Office.
* Create and maintain detailed technical design and architecture documentation to support development, implementation, and ongoing enhancement of data engineering solutions.
* Develop and execute comprehensive unit tests, ensuring thorough test coverage and clear documentation of test cases and results.
* Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and ensuring alignment with existing architecture and enterprise data standards.
* Manage and contribute to dbt projects, ensuring code quality, proper documentation, and alignment with modular, scalable design patterns.
* Design, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
* Lead and participate in all development activities, developing and implementing solutions to meet business requirements aligned with strategic program objectives.
* Responsible for new and ongoing development of data pipelines sourcing from internal and external systems.
* Drive continuous improvement of data quality, resiliency, control, efficiency, monitoring, and operational reliability.
* Troubleshoot complex system interactions to identify and resolve root causes of issues.
* Partner with platform leads to design, develop, implement, and deploy new software components to the investment data platform.
* Partner with data architects to evaluate and finalize the unified data model.
* Partner with integration architects to upgrade and integrate data ingestion and data delivery tools with the unified data platform.
* Upgrade and integrate transformation tools, data validation tools,…