Role Summary
We are seeking a Lead Developer to work on the design and delivery of real time and time series data platforms within our investment management technology team. This role combines hands on engineering with domain expertise, setting direction for systems that underpin market data, trading, portfolio, and analytics workflows used by Portfolio Managers, Traders, and Quant teams. You will act as the lead developer for real time and historical data platforms, including integration with vendor platforms like OneTick and real time data providers like Bloomberg, Refinitiv, etc., and be responsible for design, implementation, engineering standards, and production stability.
You will work closely with our business and IT leaders to understand the requirements, propose scalable solutions and set engineering standards around performance, resilience, data quality and observability while remaining deeply hands on during the implementation phase.
Key Responsibilities
- Understand the evolving business requirements and use domain knowledge to lead the design and implementation of real time and time series data services.
- Work closely with architects and developers to make pragmatic architectural decisions balancing business urgency, scalability and long term maintainability.
- Remain deeply hands on in design and implementation of critical components.
- Set engineering standards around performance, resilience, data quality, and observability.
- Review code and designs, focusing on correctness, performance, and operational readiness.
- 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, particularly 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 raising overall team capability.
Qualifications
- Proven significant professional software engineering experience combined with domain expertise in building real time data platforms in the investment management domain.
- Strong experience in integration with real time vendor platforms like OneTick and strong experience in time series databases and analytical platforms.
- Strong hands on experience in Java, Python and other programming languages, and building scalable services on AWS.
- Proven experience acting as a Lead Engineer on mission critical systems involving real time streaming and messaging technologies on Cloud infrastructure (AWS).
- Deep understanding of financial time series characteristics (high volume, bursty data, corrections, late data) and proven ability to design scalable schemas and query models for both intraday and historical analytics.
- Strong understanding of market data, orders, executions, positions, portfolios, and pricing.
- Experience balancing latency, storage efficiency, and analytical flexibility.
- Familiarity with vendor data ecosystems (e.g. Bloomberg, Refinitiv, MarketAxess).
- Experience delivering platforms used directly by PMs, Traders, and Quant teams.
- Strong ability to influence technical direction and mentor senior and junior engineers.
Additional Information
Vanguard is not offering visa sponsorship for this position.
This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday).