Head of Engineering, Investment Data Systems

Job Overview

As part of the continued growth and technology modernization, we are seeking a strategic and driven technology leader to oversee the reference data platforms that underpin our investment process and operational excellence. Reporting into the Head of Investment Technology, the Investment Data Systems manager will lead software engineering teams responsible for providing best-in-class technology solutions to professionals in our Investment Services and Portfolio Management groups, including systems for maintaining and updating our benchmarks, ensuring the accuracy and timely updates of our investment reference data, managing our universe and security master platforms, and evolving key applications that are fundamental to our efficient trade execution and accurate account management. 

The right candidate is a strong and experienced technologist who will not only lead the architecture, development and support of critical production systems, but also play a key role in advancing the overall agenda for the Investment Technology department, which includes strategic modernization and scalability efforts, leveraging common components and platforms to support continued evolution of existing systems, and building a top-tier engineering group.

This role represents is a great opportunity to work at the intersection of data, technology, and investment innovation. It will be instrumental in shaping the foundational systems that power our investment process in a performance-driven, intellectually rigorous environment.

Responsibilities:

Technology Strategy & Architecture:

• ​Define and drive the vision for investment reference data platforms, aligning with broader Investment Technology strategic objectives

• Architect scalable, resilient, and extensible systems for reference data, security master, benchmarks, classifications, and market data integrations.

• Ensure data lineage, governance, and quality are first-class concerns across the platform by leveraging common data components.

Leadership & Collaboration:

• Lead a team of engineers, data architects, and product managers dedicated to supporting our Investment Services and Portfolio Management teams.

• Partner closely with portfolio managers, operations, compliance, and other technology teams to understand requirements and deliver fit-for-purpose solutions.

• Build strong relationships with data vendors, cloud providers, and integration partners.

Delivery & Operational Excellence:

• Own the lifecycle of critical investment data systems: from design and build to deployment, monitoring, and support.

• Ensure platforms meet high standards for performance, security, availability, and compliance.

• Foster a culture of engineering excellence, DevOps, CI/CD, and agile delivery practices.

Innovation & Modernization:

• Champion modernization initiatives, including migration to cloud-native architectures, adoption of streaming data technologies, and use of machine learning for data quality enhancement.

• Maximize the productivity of our engineers by leveraging LLMs and code assistants to improve quality and time to delivery.

• Evaluate and integrate third-party data services and APIs to improve breadth, depth, and timeliness of investment data.

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering or a related discipline.

• 10+ years of experience in technology leadership roles within financial services, ideally within asset management, hedge funds, or capital markets.

• Deep expertise in designing and building systems for reference data, security master, benchmarks, or related domains.

• Strong understanding of financial instruments (equities, fixed income, derivatives, etc.) and data domains relevant to systematic investment processes.

• Proven track record in large-scale, production-quality software designs.

• Strong knowledge of an object-oriented programming language (Python, C++, Java, C#, Rust), software testing methodologies and software architecture.

• Proven experience managing engineering teams and delivering enterprise-grade platforms in a complex, regulated environment.

• Hands-on experience with cloud platforms (AWS, Azure, or GCP), microservices, APIs, and data pipelines (e.g., Kafka, Spark, Airflow).

• Solid understanding of data governance, data modeling, and master data management practices.

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional invest