Architecting, engineering, and enablement of large-scale, multi-tenant enterprise data platforms
Building enterprise data lakes, lakehouses, or data warehouses that support data analytics, data engineering, AI/ML, and regulatory workloads
Leading large, multi-tenant data platforms serving multiple lines of business
Ensuring security, scalability, and operational excellence for shared enterprise data platforms
Mentoring senior engineers and influencing platform adoption across teams

Requirements

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of hands-on experience with Kubernetes in production environments (OpenShift Container Platform strongly preferred)
Proven track record designing and operating large-scale data platforms in enterprise environments

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata analyticsAI/MLKubernetesdata platformsdata lakeslakehousesdata warehousessecurityscalability

Soft Skills

mentoringleadershipinfluencingcollaborationcommunication