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 leads and builds a data engineering team while driving the design, development, and operational excellence of a scalable, reliable data platform. The role combines hands-on technical leadership with people management and partners with product and engineering teams on data requirements and roadmap.

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