Enterprise Data Architect, Palantir
Glocomms · Marlborough, MA · 1 mo ago
HybridFull-time
Glocomms is partnering with a reputable and growing medical equipment manufacture in the search for an Enterprise Data Architect to lead the design, governance, and evolution of a shared Palantir Foundry and AIP platform supporting multiple teams and business initiatives. This is a highly technical, hands-on role focused on scalable architecture, enterprise integrations, platform security, governance, and operational excellence. Responsibilities Design and enhance enterprise-scale Palantir Foundry and AIP platform capabilities.Establish architecture standards for data pipelines, ontology design, APIs, and integrations.Build reusable platform components, templates, and development patterns.Integrate Palantir with cloud platforms, databases, enterprise applications, and third-party systems.Define and maintain security, access controls, governance, compliance, and audit requirements.Develop CI/CD, testing, deployment, and release management standards.Implement monitoring, logging, alerting, and operational dashboards.Troubleshoot production issues and drive platform performance improvements.Partner with engineering, cybersecurity, data governance, and architecture teams to align platform solutions with business needs. Requirements Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.5+ years of experience with Palantir Foundry in enterprise environments.Strong knowledge of Palantir Ontology, data pipelines, APIs, and enterprise integrations.Advanced Python and SQL skills.Experience with CI/CD, platform governance, security, observability, and production support.Experience integrating technologies such as AWS, Azure, Snowflake, databases, APIs, and SaaS platforms.Ability to collaborate with globally distributed teams. Preferred Experience Palantir AIP.Apollo, Platform SDK, Ontology SDK, or related Palantir tooling.Building reusable enterprise data products and platform services.Experience in highly regulated industries such as healthcare, life sciences, or manufacturing.