Our client, a multinational financial services company, is looking for someone to join their team as a Data Platform Engineer in Charlotte, North Carolina.
This is a yearlong W2 contract with potential to extend or convert
This is a platform engineering role focused on infrastructure, scalability, reliability, and operational excellence, not application development. You will work closely with data engineering, analytics, and infrastructure teams to support a multi-tenant environment that powers critical data workloads across the organization. The ideal candidate is a hands-on engineer who enjoys solving complex platform challenges, optimizing performance, and supporting a diverse set of users and stakeholders.
What You Will Be Doing
- Build, maintain, and enhance a scalable data platform running on Kubernetes/OpenShift
- Support a multi-tenant environment serving multiple teams and business users
- Manage platform configuration, upgrades, and operational health
- Monitor, troubleshoot, and optimize platform performance and reliability
- Support distributed data processing and analytics technologies
- Partner with internal teams to resolve issues, answer technical questions, and improve platform adoption
- Contribute to platform architecture, automation, and scalability initiatives
- Drive operational excellence through observability, monitoring, and best practices
Required Qualifications
- Strong hands-on experience with Kubernetes (OpenShift experience highly preferred)
- Experience working with object storage solutions such as S3 or equivalent
- Deep understanding of modern data platform technologies, including:
- Apache Spark
- Apache Hive
- Trino
- Apache Iceberg
- Experience supporting production platforms in enterprise environments
- Strong troubleshooting, performance tuning, and operational support experience
- Ability to collaborate effectively across multiple teams and stakeholders
Preferred Qualifications
- Python development or automation experience
- Familiarity with DataHub, Keycloak, or similar ecosystem tools
- Experience with observability and monitoring platforms
- Exposure to broader cloud-native data platform architectures
- Experience designing and supporting large-scale, multi-tenant environments