Manager, Data Engineering
Solovis · United States
Software Development · 201-500 employees
About the role
This role leads and builds a world-class data engineering team while driving the design, development, and operational excellence of the data platform. The manager is responsible for hiring top talent, developing engineers, and ensuring the delivery of scalable, reliable data infrastructure.
What they look for
Requirements
The candidate must have strong technical leadership experience and proficiency in Python, Java, and cloud-based data infrastructure. Experience with ETL/ELT systems, database optimization, and production support is essential for this role.
Full description
Manager, Data Engineering
Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today’s complex global markets with clarity and confidence. Backed by Insight Partners, were building the next chapter of growth by investing in people and product to raise the bar on quality and client outcomes. Our team is driven by a culture of disciplined execution, humility, and curiosity where AI is at the core of how we operate, innovate, and serve clients. At Solovis, you'll join a tech-forward, growth-minded team that believes in learning fast, thinking big, and delivering meaningful impact for asset owners worldwide.
This role leads and builds a world-class data engineering team while driving the design, development, and operational excellence of our data platform. This role combines hands-on technical leadership with people management, responsible for hiring top talent, developing engineers, establishing team practices, and ensuring the delivery of scalable, reliable data infrastructure.
Key Responsibilities
Define technical standards, architecture, and best practices for data pipelines.
Lead design reviews and own technical decisions for ETL/ELT systems.
Contribute hands-on: code-review, design, and develop critical data infrastructure.
Drive production excellence, monitoring, and incident response.
Partner with product and engineering teams on data requirements and roadmap.
Skills
Programming: Python, Java
Data Engineering: ETL/ELT pipelines, batch processing, data validation, data quality checks, data reconciliation
Databases: PostgreSQL, SQL query optimization
Cloud: AWS Cloud
Containers & Orchestration: Docker, Kubernetes, AKS
CI/CD: GitLab pipelines
DevOps / Operations: Monitoring, troubleshooting, production support, runbooks
AI-assisted development: Claude Code or similar AI coding tool
