Software Engineer Lead Engineer

MFS Investment Management; Boston (MA); Hybrid; USD 110,000 - 159,000; Full time

Benefits offered by this job

15% retirement match

Education assistance

Tuition reimbursement

Parental leave & generous time off

Wellness programs

Job summary

MFS Investment Management is seeking a Lead Data Engineer to drive the design, development and maintenance of data ingestion, validation and delivery for our investment data platform. You will work in an agile, collaborative environment with technology peers, investment professionals and vendor partners to shape the future of investment data at MFS.

The role emphasizes building robust data models in dbt on Snowflake, leading data engineering efforts, and delivering timely, accurate data for

Qualifications

• Bachelor’s degree in Computer Science or related disciplines.
• 5+ years of design, development and building data-oriented applications.
• 2–4 years hands-on with SQL to Advanced SQL.
• Experience developing and maintaining data models in dbt.
• Experience with data integration, data warehouse, analytics architecture; Snowflake and cloud databases preferred.
• Cloud platforms: Azure, AWS, GCP.
• Strong knowledge of Agile SDLC, DevOps and cloud technologies.
• Familiarity with data architectures (UDM, data mesh, event-driven).
• Experience in financial services data domains is desirable.
• Strong interpersonal and cross-team collaboration skills.

Responsibilities

• Develop and maintain data models in dbt within Snowflake.
• Manage dbt projects with quality documentation and scalable design.
• Build and administer scalable data pipelines and a data warehouse.
• Lead development activities to meet business requirements and objectives.
• Improve data quality, resiliency, and monitoring.
• Troubleshoot complex system interactions and root causes.
• Collaborate with platform and data architects to unify data models.
• Upgrade and integrate ingestion, validation and orchestration tools.

Skills

SQL

dbt

Snowflake

Cloud platforms

Data modeling

Agile

DevOps

ETL/ELT

Education

Bachelor’s degree in Computer Science or related disciplines

Tools

Azure

AWS

GCP

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.

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

• 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
• Troubleshooting complex system interactions to find the root cause to 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

WHAT WE ARE LOOKING FOR

• 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, 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.

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

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 forwhat we’ll pay depending on the candidate’s experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensationbased 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

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 [e-mail] 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.