Data Engineering Manager
Role Overview
We are seeking a senior engineering leader to join a high-impact data acquisition team focused on delivering unique datasets that support investment research and decision-making. This role combines people management, technical leadership, and AI-driven automation to help transform large volumes of structured and unstructured data into actionable insights.
The position is approximately 50% people management and 50% high-level technical leadership, including architecture, system design, technical direction, and code reviews. This is a hands-on leadership role.
Key Responsibilities
• Lead, mentor, and develop a team of data engineers, driving technical excellence and delivery.
• Own high-level architecture, system design, technical strategy, and engineering best practices.
• Review technical solutions and provide guidance on scalability, reliability, and performance.
• Design scalable systems for collecting, processing, and standardizing alternative data from web, audio, video, and other sources.
• Drive automation and AI-enabled solutions to improve data extraction, validation, and operational efficiency.
• Partner with technology, data, and research teams to deliver robust infrastructure and solutions aligned with business needs.
• Collaborate with distributed teams and external resources to scale data operations and quality processes.
• Stay current with emerging technologies and identify opportunities for innovation.
Requirements
• 7–8+ years of software or data engineering experience, including experience leading engineering teams.
• Strong background in system architecture, distributed systems, and scalable data platforms.
• Proficiency in Python and SQL/databases.
• Experience with data pipelines, APIs, web technologies, and cloud-based environments.
• Ability to operate both strategically and hands-on at a technical leadership level.
• Strong communication, stakeholder management, and people leadership skills.