Data Engineer

We are seeking a Head of Data Engineering to lead the design, development, and evolution of the firm's enterprise data platform. This individual will be responsible for building a world-class data organization that supports investment research, portfolio management, trading, risk, operations, and firmwide analytics. The ideal candidate combines deep technical expertise with strong leadership skills and has experience building scalable data platforms in highly demanding financial environments.The successful candidate will partner directly with Portfolio Managers, Quant Researchers, Traders, Risk Managers, and Technology leadership to create a unified data ecosystem capable of supporting systematic and discretionary investment strategies across asset classes. This is a highly visible leadership role with responsibility for data architecture, engineering standards, platform reliability, governance, and team development.ResponsibilitiesDefine and execute the firm's enterprise data strategy, architecture, and engineering roadmap.Build and lead a high-performing team of data engineers, architects, and platform specialists.Design and oversee scalable cloud-based and on-premise data platforms supporting investment research, portfolio management, trading, risk, compliance, and operations.Establish data engineering best practices, development standards, governance frameworks, and operational controls.Build centralized data capabilities for market data, pricing, reference data, fundamentals, alternative data, positions, exposures, risk, and performance analytics.Develop robust ingestion, validation, enrichment, and distribution pipelines supporting both real-time and batch workloads.Partner closely with investment teams to deliver high-quality, research-ready and production-ready datasets.Drive modernization initiatives including cloud migration, lakehouse architecture, metadata management, lineage, observability, and data quality frameworks.Establish scalable self-service data capabilities enabling researchers and portfolio managers to efficiently access and analyze data.Lead vendor evaluations, data platform selection, and strategic technology initiatives.Manage platform reliability, scalability, security, and operational support across the data ecosystem.Collaborate with senior business and technology stakeholders to align data initiatives with investment objectives.RequirementsSignificant experience building enterprise-scale data platforms within hedge funds, asset managers, investment banks, market data providers, or financial technology organizations.Deep expertise with modern data architectures including data lakes, lakehouses, distributed processing frameworks, and cloud-native platforms.Strong hands-on experience with Python, SQL, Spark, Kafka, Airflow, and modern data orchestration technologies.Experience with AWS, Azure, or GCP cloud environments.Proven track record building and managing high-performing engineering teams.Strong understanding of financial markets, market data, reference data, portfolio data, and investment workflows.Experience supporting front-office research and trading organizations.Exceptional communication skills with the ability to work effectively across investment, technology, and business teams.Preferred BackgroundExperience supporting multi-strategy hedge funds, quantitative investment firms, or systematic trading organizations.Knowledge of equities, fixed income, derivatives, futures, options, and alternative investments.Experience building data platforms supporting machine learning, quantitative research, and AI-driven investment workflows.Strong understanding of data governance, metadata management, lineage, quality monitoring, and regulatory requirements.Track record of leading large-scale data transformation and modernization initiatives.What Success Looks LikeThis leader will create a firmwide data platform that serves as the foundation for investment decision-making, quantitative research, risk management, and operational excellence. The ideal candidate is both a strategic leader and a highly technical practitioner who can build teams, drive innovation, and deliver scalable data solutions that directly contribute to investment performance.