Top Senior Level Financial Services Data Engineering Jobs in New York City, NY

The Head of Data will shape the data architecture, manage data infrastructure, and facilitate insights through self-serve analytics while collaborating with AI teams.

The role oversees data operations, builds data and technology solutions, integrates systems, supports KPIs, and leads a team of analysts.

Conduct quantitative analytics and modeling projects, develop AI-driven tools, and integrate AI into existing workflows within banking and market sectors.

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

The role involves developing and enhancing an analytics platform for fixed income, focusing on software architecture, C++ programming, and ensuring system robustness.

Own and improve the company data stack: expand the data warehouse, build and streamline Python-based ingestion and ETL processes, refactor dbt models, maintain data quality, standardize reporting, and collaborate with engineering and analysts. Act as technical owner for parts of the stack and proactively drive improvements and automation.

Lead design and delivery of company-wide data models and analytics products. Gather requirements, define outcomes, enforce data standards, and partner with analysts, engineers, and PMs to scale reliable data solutions and practices.

Lead design and delivery of business information management solutions: data modeling, ETL, data integration, profiling, governance, and large-dataset preparation. Coach teams, define roadmaps, resolve data issues, and support analytics consumers across the enterprise.

Design and maintain data models, build and optimize data pipelines and database infrastructure, integrate data with BI tools, ensure data quality and governance, troubleshoot performance and downtime, and collaborate with stakeholders to deliver reliable analytics and reporting.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.