Senior Developer – Time Investment Data Systems

Role Overview

We are seeking a Senior Developer to work on the design and delivery of real‑time and time‑series data platforms within our investment management technology team. The role combines hands‑on engineering with domain expertise, guiding systems that underpin market data, trading, portfolio, and analytics workflows used by Portfolio Managers, Traders, and Quant teams.

• Lead the design and implementation of real‑time and historical data platforms, including integration with vendor platforms such as One Tick, Bloomberg, Refinitiv, and other real‑time data providers.
• Set engineering standards around performance, resilience, data quality, and observability while remaining deeply hands‑on during implementation.
• Work closely with business and IT leaders to understand requirements, propose scalable solutions, and set performance and resilience mandates.
• Design schemas, partitioning, and data lifecycle strategies for large‑scale intraday and historical datasets.
• Lead integrations with vendor platforms and ensure consistent, reliable data across internal consumers.
• Optimize query performance and data access patterns for PM, Trader, and Quant use cases.
• Own production stability for business‑critical data systems, especially during trading hours.
• Define and enforce best practices for monitoring, alerting, incident response, and root‑cause analysis.
• Proactively identify performance bottlenecks, scalability risks, and operational weaknesses.
• Mentor engineers, providing technical guidance and enhancing overall team capability.

• Proven significant professional software engineering experience combined with substantial domain expertise in building real‑time data platforms for the investment management domain.
• Strong experience integrating with real‑time vendor platforms (e.g., One Tick) and time‑series databases and analytical platforms.
• Hands‑on experience in Java, Python, and other programming languages, building scalable services on AWS.
• Experience acting as a Lead Engineer on mission‑critical systems involving real‑time streaming and messaging technologies on cloud infrastructure.
• Deep understanding of financial time‑series characteristics (high volume, bursty data, corrections, late data) and ability to design scalable schemas and query models for intraday and historical analytics.
• Strong grasp of market data, orders, executions, positions, portfolios, and pricing.
• Experience balancing latency, storage efficiency, and analytical flexibility.
• Familiarity with vendor data ecosystems such as Bloomberg, Refinitiv, and Market Axess.
• Experience delivering platforms used directly by PMs, Traders, and Quant teams.
• Strong ability to influence technical direction and mentor senior and junior engineers.

• No visa sponsorship is offered for this position.
• This is a hybrid role that requires working in the office three days per week (Tuesday, Wednesday, and Thursday).

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve.