Lead Engineer, Market Data Platform

Job DetailExperience Level Mid LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type On SiteJob Reference 0000019254Salary Type AnnuallyIndustry Asset Management;Hedge FundSelling Points Drive innovation in market data platforms for a leading investment organization. Collaborate with senior leaders and mentor engineers in a dynamic environment. Lead impactful projects leveraging cutting-edge technologies.Job DescriptionOverviewLead the development of a scalable market data platform for a global investment organization.Collaborate with senior leadership to define architectural strategies and implement innovative solutions.Mentor and guide a team of engineers, fostering technical excellence and collaboration.Work hands-on with large-scale financial datasets, ensuring high performance and reliability.Design and optimize data pipelines, databases, and caching systems for market data processing.Leverage cloud-native technologies to enhance scalability and cost-efficiency.Promote best practices in data engineering and platform design across the organization.Contribute to the organization’s mission of delivering high-quality financial advisory services.Key Responsibilities & DutiesAssess current data architecture and lead the design of a next-generation platform.Develop robust ETL/ELT pipelines for ingesting and processing market data.Define and implement scalable data models and schema standards.Optimize database design for analytical and performance use cases.Select and standardize data platform tools and frameworks.Design caching strategies to support low-latency data access.Collaborate with DevOps to manage cloud-native data platforms using AWS services.Mentor engineers and conduct code reviews to ensure scalability and maintainability.Job RequirementsBachelor’s degree in Computer Science, Engineering, or a related field.10+ years of experience in data engineering and architecture.Proven expertise in AWS-based data architecture and distributed systems.Strong programming skills in Python and SQL, with experience in ETL/ELT frameworks.Extensive knowledge of financial markets and asset classes.Experience with market data vendors like Bloomberg and ICE.Familiarity with caching technologies and performance optimization.Leadership skills with a focus on mentoring and team building.