Data Platform Engineer

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Data Platform Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• Strong experience with Kubernetes, preferably OpenShift.
• Strong Linux experience.
• Experience building and configuring enterprise platforms from the ground up.
• Experience designing and implementing observability solutions across platforms.
• Hands-on experience with tools such as Grafana, Prometheus, BigPanda, PagerDuty, or ThousandEyes.
• Experience with automation tools including Terraform and Helm.
• Experience with GitOps practices, preferably Argo CD.
• Experience using ServiceNow.

Desired Skills & Experience

• Experience with OpenShift ingress and egress control, including design and enforcement of secure north-south traffic patterns.
• Experience with load balancing and traffic routing for internal and external services with high availability.
• Experience with network segmentation and isolation across tenants, namespaces, and environments in multi-tenant platforms.
• Experience with Kubernetes or OpenShift Network Policies including default deny and least privilege communication controls.
• Kubernetes (OpenShift preferred). Object Storage. Execution Engines (Spark, Trino).
• Table formats (Iceberg, Hive). Metadata Lineage (Datahub). Observability (Grafana, Prometheus, BigPanda, PagerDuty, ThousandEyes, alert and dashboard design). ServiceNow. Automation (Terraform, Helm, GitOps - Argo CD preferred).
• Good to have: OpenShift ingress & egress control - design and enforcement of secure north south traffic pattern.
• Load balancing & traffic routing - internal and external service exposure with high availability.
• Network segmentation & isolation - tenant, namespace, and environment level isolation in multi-tenant platforms.
• Kubernetes / OpenShift Network Policies - default deny, least privilege communication controls.

What You Will Be Doing

• Design and build a scalable data private cloud platform leveraging Kubernetes and OpenShift.
• Configure and integrate platform components including compute, storage, and networking layers, and support object storage and execution engines where applicable.
• Support environment buildout in preparation for enterprise data center migration, including configuration of foundational infrastructure such as firewalls and load balancing in collaboration with network teams.
• Ensure platform readiness to support multi-tenant data workloads.
• Enable onboarding of 70+ tenant applications onto the platform by defining access models, resource allocation, and environment setup.
• Collaborate with stakeholders to ensure tenants can successfully adopt and use the platform.
• Design and implement observability frameworks including monitoring, alerting, and dashboards.
• Develop automation solutions to support platform provisioning, deployments, and ongoing operations.
• Implement and maintain platform-level security and compliance controls, ensuring alignment with enterprise policies and supporting enforcement of extensive data and technical controls.
• Partner with cross-functional teams including networking, security, and infrastructure to support delivery, solutioning, and requirements definition.
• Support acceleration of deliverables across both platform buildout and tenant enablement based on capacity needs.
• Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
• Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.