{"schemaVersion":"jobsearcher.job.v1","id":"10c152ba5566cd0e051ff976","url":"https://jobsearcher.com/jobs/10c152ba5566cd0e051ff976","canonicalUrl":"https://jobsearcher.com/jobs/10c152ba5566cd0e051ff976","title":"Manager, Data Engineering","description":"Manager, Data Engineering\nSolovis 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.\nThis 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.\nKey Responsibilities\nDefine technical standards, architecture, and best practices for data pipelines.\nLead design reviews and own technical decisions for ETL/ELT systems.\nContribute hands-on: code-review, design, and develop critical data infrastructure.\nDrive production excellence, monitoring, and incident response.\nPartner with product and engineering teams on data requirements and roadmap.\nSkills\nProgramming: Python, Java\nData Engineering: ETL/ELT pipelines, batch processing, data validation, data quality checks, data reconciliation\nDatabases: PostgreSQL, SQL query optimization\nCloud: AWS Cloud\nContainers & Orchestration: Docker, Kubernetes, AKS\nCI/CD: GitLab pipelines\nDevOps / Operations: Monitoring, troubleshooting, production support, runbooks\nAI-assisted development: Claude Code or similar AI coding tool","company":"Solovis","rawCompany":"solovis","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-08T14:03:53.070Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Data Engineering","description":"Manager, Data Engineering\nSolovis 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.\nThis 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.\nKey Responsibilities\nDefine technical standards, architecture, and best practices for data pipelines.\nLead design reviews and own technical decisions for ETL/ELT systems.\nContribute hands-on: code-review, design, and develop critical data infrastructure.\nDrive production excellence, monitoring, and incident response.\nPartner with product and engineering teams on data requirements and roadmap.\nSkills\nProgramming: Python, Java\nData Engineering: ETL/ELT pipelines, batch processing, data validation, data quality checks, data reconciliation\nDatabases: PostgreSQL, SQL query optimization\nCloud: AWS Cloud\nContainers & Orchestration: Docker, Kubernetes, AKS\nCI/CD: GitLab pipelines\nDevOps / Operations: Monitoring, troubleshooting, production support, runbooks\nAI-assisted development: Claude Code or similar AI coding tool","datePosted":"2026-08-08T14:03:53.070Z","dateModified":"2026-08-08T14:03:53.070Z","hiringOrganization":{"@type":"Organization","name":"Solovis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"10c152ba5566cd0e051ff976"},"url":"https://jobsearcher.com/jobs/10c152ba5566cd0e051ff976"}}