THE ROLE
In conjunction with the Investment 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 Investment 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 unified data platform for the Investment Data Management Office(IDMO)
Lead and participate in all development activities, develop and implement solutions to meet business requirements that align with program strategic objectives
Responsible for new and on-going development of data pipelines sourcing from internal and external sources
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 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.
