Note: The job is a remote job and is open to candidates in USA. Solovis is a portfolio management and analytics platform helping institutional investors navigate complex global markets. The Manager, Data Engineering will lead and build a data engineering team while driving the design, development, and operational excellence of the company’s data platform. The role combines hands-on technical leadership with people management, including hiring, developing engineers, establishing team practices, and delivering scalable, reliable data infrastructure.
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
Company Overview
Company H1B Sponsorship