Lead Database Engineer (SQL/Postgres) - Quant Trading - J12783

About the Client: Our client is a global, technology-driven systematic investment manager. They apply a rigorous, scientific approach to investing across global liquid asset classes. The engineering culture here is highly collaborative, avoiding corporate red tape in favor of solving complex data and infrastructure challenges at scale to support alpha generation.

The Role & Landscape: You will step in as a key leader within the global database team. This is a player-coach role—you will manage and mentor the team (20-30% of your time) while remaining heavily involved in the technical weeds.

• Leadership & Execution: Guide a talented engineering pod while acting as the final escalation point for complex technical issues.
• Core Engineering : Support, secure, and administer databases in a high-demand, on-premises Linux production environment. Focus heavily on High Availability (HA), capacity planning, and Disaster Recovery.
• Business Partnership: Work face-to-face with quants, researchers, and traders to define data flow requirements and build out solutions that impact trading strategies directly.
• Modernization: Bring in modern analytical database technologies (like ClickHouse or Snowflake) to complement the core SQL Server/Postgres stack.

What We Are Looking For:

• Hands-On Leadership: Proven experience leading technical teams without losing your edge as an individual contributor.
• Core Tech Stack: Deep, production-level expertise in SQL Server and/or PostgreSQL. (If your background is purely Oracle, you must be actively willing and eager to cross-train, as this environment does not use Oracle)
• Infrastructure: Mandatory experience working in on-premises Linux/UNIX environments.
• Automation: Scripting skills (Python, PowerShell, Bash, Ansible) are a major advantage.
• Mindset: Highly organized, proactive, and capable of navigating the pressure of a live trading environment.

Why Apply To This Role: This isn't a role where you sit back and just do performance reviews. You will take true ownership of critical data infrastructure within a top-tier quantitative trading firm. The environment rewards proactive problem-solving and offers direct, visible impact on the firm's trading capabilities.