Data Platform Engineer

THE JUDGE GROUP, INC.
Charlotte, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 152K

Job location

Charlotte, United States of America

Tech stack

Apache HTTP Server
Big Data
Business Software
Information Systems
Computer Networks
Continuous Integration
Information Engineering
Data Infrastructure
Linux
DevOps
Hive
Identity and Access Management
Network Security
Metadata
Network Segmentation
Octopus Deploy
Openshift
Reliability Engineering
Prometheus
Load Balancing
Grafana
Spark
Kubernetes
Infrastructure Automation Frameworks
Storage Technologies
Information Technology
Data Lineage
Deployment Automation
Terraform
Pagerduty
ServiceNow

Job description

We are seeking an experienced Data Platform Engineer to help design, build, and scale a next-generation private cloud data platform supporting enterprise analytics and data workloads. This role will play a critical part in a large-scale data center transformation initiative, enabling a secure, highly available, and multi-tenant platform that supports more than 70 business applications and teams.

As a member of the platform engineering team, you will work across infrastructure, Kubernetes, observability, automation, and security domains to deliver a production-ready platform that accelerates enterprise data adoption. What You'll Do Platform Engineering & Architecture

  • Design, build, and operate a scalable private cloud data platform leveraging Kubernetes, with a preference for OpenShift.
  • Develop and integrate core platform services across compute, storage, networking, and security layers.
  • Support modernization and migration initiatives by enabling cloud-native infrastructure and platform capabilities.
  • Collaborate with infrastructure and networking teams to establish foundational services, including load balancing, routing, and firewall integrations.

Multi-Tenant Platform Enablement

  • Design platform capabilities that support secure onboarding and operation of 70+ tenant applications.
  • Define resource allocation models, access management patterns, and operational standards for tenant environments.
  • Partner with application and data engineering teams to optimize adoption and platform usability.

Observability & Reliability

  • Build and maintain monitoring, alerting, and dashboarding solutions that provide visibility into platform health and performance.
  • Establish operational best practices for incident response, reliability engineering, and service availability.
  • Drive continuous improvements in platform observability and operational excellence.

Automation & DevOps

  • Create infrastructure and platform automation using Infrastructure-as-Code and GitOps methodologies.
  • Develop automated deployment, provisioning, and lifecycle management solutions.
  • Support CI/CD and platform release processes to improve delivery velocity and reliability.

Security & Compliance

  • Implement enterprise-grade security controls, governance standards, and compliance requirements.
  • Design secure network communication patterns and access controls within Kubernetes/OpenShift environments.
  • Partner with security teams to align platform capabilities with organizational policies and regulatory requirements.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Experience building and operating Kubernetes-based platforms in enterprise environments.
  • Experience administering Linux systems in production environments.
  • Experience designing and implementing platform observability solutions.
  • Experience with Infrastructure-as-Code and automation frameworks.
  • Experience collaborating across infrastructure, security, networking, and application engineering teams., * Experience with OpenShift platform administration and engineering.
  • Experience with object storage technologies.
  • Experience supporting distributed execution engines such as Apache Spark or Trino.
  • Experience with modern table formats including Apache Iceberg and Apache Hive.
  • Experience with metadata and data lineage platforms such as DataHub.
  • Experience with observability tools including:
  • Grafana
  • Prometheus
  • BigPanda
  • PagerDuty
  • ThousandEyes
  • Experience with:
  • Terraform
  • Helm
  • GitOps practices
  • Argo CD
  • Experience working with ServiceNow for operational workflows and change management.

Nice to Have

  • Experience designing and enforcing OpenShift ingress and egress controls.
  • Experience implementing secure north-south traffic patterns in Kubernetes environments.
  • Experience with load balancing and traffic routing for highly available services.
  • Experience implementing network segmentation and tenant isolation strategies in multi-tenant platforms.
  • Experience creating and enforcing Kubernetes/OpenShift Network Policies using default-deny and least-privilege principles.
  • Experience with NexusOne or similar emerging platform technologies.

Key Characteristics

  • Strong systems-thinking and platform engineering mindset.
  • Ability to operate effectively in complex, highly regulated enterprise environments.
  • Passion for automation, reliability, and operational excellence.
  • Strong collaboration and communication skills with both technical and non-technical stakeholders.
  • Ability to balance strategic platform initiatives with hands-on implementation and operational support.

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