Senior Data Engineer - Vice President - Python Development

Design and build the data architecture and production-grade Python pipelines for greenfield Generative AI products in Markets, handling billions of records with optimized performance and low-latency access.

Own and improve data quality controls, operational observability, security, and governance practices ensuring high reliability and compliance for financial data platforms.

Contribute to architecture, engineering standards, data models, and production practices while collaborating closely with AI, software engineers, and product stakeholders.

Extensive hands-on experience in data engineering or closely related discipline with deep Python expertise.

Strong SQL and relational database experience, particularly with PostgreSQL, including query optimization and performance tuning.

Practical knowledge of large-scale data processing frameworks (e.g., Apache Spark, Dask) and experience working with columnar data formats like Apache Parquet.

Bachelor’s or master’s degree in Computer Science, Engineering, or relevant quantitative discipline, or equivalent professional experience.

Experienced in building scalable, production-grade data platforms for AI or data-intensive financial applications with ownership of architecture and operational excellence.

Proficient in applying software engineering best practices including testing, CI/CD, code quality, and infrastructure automation (e.g., Kubernetes/OpenShift).

Able to navigate ambiguity and influence technical direction in a fast-paced, collaborative environment focused on innovative Generative AI solutions in capital markets.