Data Platform Engineer

Job Description

Job Title: Data Platform Engineer

Location: Charlotte, NC (Hybrid schedule: 3 days per week onsite)

Duration: 12 months + Possibility to Extend and/or Convert to FTE

Pay Rate: $60 - $70 (W2 Only)

Job/Role Description:

• This role supports the design, buildout, and enablement of a large-scale data private cloud platform on Kubernetes and OpenShift to support enterprise data analytics workloads across 70+ tenants.
• This position will focus on core platform engineering while also supporting tenant enablement, observability implementation, and security controls to ensure the environment is scalable, secure, and production-ready.
• This position will configure and integrate platform components including compute, storage, networking layers, object storage, and execution engines in preparation for enterprise data center migration.
• Collaborate with network and infrastructure teams on foundational elements such as firewalls, load balancing, ingress/egress controls, and network segmentation for multi-tenant environments.
• Enable onboarding of tenant applications by defining access models, resource allocation, and environment setup to ensure successful platform adoption.
• Design and implement observability frameworks including monitoring, alerting, dashboards, and integrations with tools such as Grafana, Prometheus, BigPanda, PagerDuty, and ThousandEyes.
• Develop automation solutions using Terraform, Helm, and GitOps practices (Argo CD preferred) to support platform provisioning, deployments, and ongoing operations.
• Implement and maintain platform-level security and compliance controls, including Kubernetes/OpenShift Network Policies with default deny and least privilege communication models.
• Partner with cross-functional teams including networking, security, and infrastructure to support delivery, solutioning, and acceleration of platform buildout and tenant enablement.
• Utilize ServiceNow for incident, request, and change management as part of platform operations and support.

Required Qualifications

• Strong hands-on experience with Kubernetes; OpenShift experience strongly preferred.
• Strong Linux administration and engineering experience.
• Experience building and configuring enterprise-grade platforms from the ground up.
• Experience designing and implementing observability, monitoring, alerting, and dashboard solutions for cloud or container platforms.
• Hands-on experience with observability and monitoring tools such as Grafana, Prometheus, BigPanda, PagerDuty, or ThousandEyes.
• Experience with infrastructure automation tools including Terraform and Helm.
• Experience with GitOps practices and tools, preferably Argo CD.
• Experience with IT service management and ticketing tools such as ServiceNow.
• Experience with object storage, execution engines (e.g., Spark or Trino), table formats (e.g., Iceberg or Hive), and metadata lineage tools (e.g., DataHub) is a plus.
• Experience with OpenShift ingress/egress control, load balancing for high availability, network segmentation and isolation in multi-tenant environments, and Kubernetes/OpenShift Network Policies is a plus.
• Proven analytical and problem-solving abilities with strong attention to detail.
• Strong interpersonal, written, and oral communication skills.
• Ability to work effectively in a team-oriented, collaborative environment.
• Ability to prioritize and execute tasks in a dynamic environment and make sound decisions under pressure.
• Highly self-motivated, directed, and organized with a strong customer service orientation.