DBT Investment Lead Data 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.

About the role

In conjunction with the Enterprise Data Management Office, the DBT Investment 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.

This position offers the opportunity to shape the future of investment data at MFS. You will work in an agile, collaborative, team-based environment, closely with technology peers across MFS, investment professionals and key vendor partners.

Responsibilities

• Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and ensuring alignment with existing architecture and 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, develop and implement solutions to meet business requirements that align with program strategic objectives.
• Drive continuous improvement of data quality, resiliency, control, efficiency, and monitoring.
• Troubleshoot complex system interactions to find the root cause of problems.
• Partner with platform lead to design, develop, implement and deploy new software components to investment data platform.
• Partner with data architect to evaluate and finalize the unified data model.
• Partner with integration architect to upgrade and integrate data ingestion and data delivery tools with the unified data platform.
• Upgrade and integrate transformation tool, data validation tool and orchestration tools with the unified data platform to implement data engineering, analytical engineering and data maintenance capabilities.
• Provide support during unexpected outages.

Requirements

• Bachelor’s degree in Computer Science or related disciplines.
• 5-6+ years of experience in design, development and building data-oriented complex applications.
• Minimum of 2-4 years of hands-on progressive experience from SQL to Advanced SQL.
• Experience in developing and maintaining data models in dbt (Data Build Tool).
• Experience working in data integration (ETL/ELT), data warehouse, data analytics architecture and sound understanding of design principles.
• Knowledge of and experience with Snowflake and other cloud-native databases is highly preferred.
• Development experience in cloud-based PAAS platforms like Microsoft Azure, Google GCP, or Amazon AWS.
• Deep understanding of Agile SDLC, DevOps, and Cloud technologies required, in addition to exposure to multiple, diverse technologies, platforms, and processing environments.
• Knowledge about various architectures and patterns such as unified data management architecture (UDM), data mesh architecture, event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc.
• Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desired.
• Good interpersonal and communication skills with the ability to lead cross-team collaboration and partnerships across a variety of internal and external constituencies.

Preferred Qualifications

• Experience working within the asset management industry and investment data domain, with exposure to multi-asset investment platforms and related data ecosystems.
• Understanding of asset management concepts and knowledge of various financial instruments and products, including traditional and alternative asset classes.
• Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets/investment operations are highly valued.
• Demonstrated interest in emerging AI technologies and an understanding of how AI-driven tools can improve day-to-day engineering processes, data quality, operational efficiency, and analytics workflows.
• Familiarity with leveraging AI-assisted development, automation, or data engineering best practices to enhance productivity and continuous improvement initiatives is a plus.

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

Pay

Base Salary Range: $110,000.00 - $158,500.00. This position is eligible for competitive incentive bonus.

Benefits

• 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 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 work out 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.