Database Engineer - Hedgefund

A high-performing alternative investment firm is seeking an experienced database and platform engineer to support the architecture, automation, and reliability of critical data systems used across front-office and enterprise technology teams. This individual will help modernize and scale the organization’s database ecosystem, improve platform automation, and optimize performance across a broad set of data technologies supporting trading, analytics, and operational workloads. The role offers meaningful ownership, direct impact on business-critical infrastructure, and exposure to a sophisticated technology environment within financial markets. Responsibilities Engineer, maintain, and optimize enterprise-grade database platforms supporting latency-sensitive and high-throughput workloads Develop automation tooling and deployment frameworks to improve platform scalability, reliability, and operational efficiency Troubleshoot and resolve performance issues across database environments, including query optimization and indexing strategy Partner with application, infrastructure, and data engineering teams to design scalable database solutions Contribute to architecture decisions around platform modernization and next-generation data tooling Implement monitoring, alerting, and observability solutions across database and infrastructure layers Support release management and deployment processes through CI/CD and version control best practices Qualifications 3+ years of experience in database engineering, data infrastructure, or platform engineering Strong hands-on experience administering and optimizing Microsoft SQL Server environments Proficiency with scripting/programming for automation, including Python , PowerShell , and SQL Experience building infrastructure automation and repeatable deployment workflows Deep understanding of relational database design, performance optimization, and schema management Familiarity with Git-based development workflows and CI/CD tooling Strong communication skills and ability to collaborate across technical stakeholders Preferred Experience Prior exposure to capital markets, trading, or investment management technology environments Experience with modern analytical/data lake technologies and distributed query engines Familiarity with additional database technologies beyond MSSQL Exposure to event streaming / distributed messaging platforms Linux systems administration and general infrastructure knowledge Experience with containerized environments and orchestration frameworks #J-18808-Ljbffr Phaxis