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.