Job Description

Overview We are seeking a highly skilled Data Platform Engineer to support the buildout and enablement of a large-scale private cloud platform for enterprise data analytics workloads. This platform will support 70+ tenants and is a critical component of a broader data center migration initiative. The role focuses on core platform engineering, tenant enablement, observability, and security controls to ensure scalability, security, and production readiness.

Key Responsibilities

• Design and build scalable private cloud platforms leveraging Kubernetes and OpenShift.
• Configure and integrate compute, storage, and networking layers, including object storage and execution engines.
• Support enterprise data center migration by configuring foundational infrastructure such as firewalls and load balancing.
• Enable onboarding of 70+ tenant applications with defined access models, resource allocation, and environment setup.
• Collaborate with stakeholders to ensure successful tenant adoption.
• Design and implement observability frameworks including monitoring, alerting, and dashboards.
• Develop automation solutions for provisioning, deployments, and operations.
• Implement and maintain platform-level security and compliance controls.
• Partner with networking, security, and infrastructure teams to support delivery and requirements definition.
• Accelerate deliverables across platform buildout and tenant enablement.

Required Skills & Experience

• Strong experience with Kubernetes (OpenShift preferred).
• Strong Linux background.
• Proven experience building and configuring enterprise platforms from the ground up.
• Experience designing and implementing observability solutions.
• Hands-on expertise with Grafana, Prometheus, BigPanda, PagerDuty, ThousandEyes.
• Automation experience with Terraform and Helm.
• Familiarity with GitOps practices (Argo CD preferred).
• Experience using ServiceNow.

Preferred Experience

• Object Storage solutions.
• Execution Engines (Spark, Trino).
• Table formats (Iceberg, Hive).
• Metadata Lineage tools (Datahub).
• Advanced observability design (alerts, dashboards).
• Automation with Terraform, Helm, GitOps (Argo CD).

Good to Have

• OpenShift ingress/egress control for secure north-south traffic patterns.
• Load balancing and traffic routing for high availability.
• Network segmentation and isolation across tenants, namespaces, and environments.
• Kubernetes/OpenShift Network Policies (default deny, least privilege).

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