Senior Data Platform Engineer — Cloud Data & Analytics

Primerica; Duluth (GA); Hybrid; USD 120,000 - 140,000; Full time

Job summary

Primerica in Duluth, GA is seeking a Data Platform Engineer to design, build, and operate scalable data platform infrastructure that supports analytics workloads. You will work in the Cloud Engineering group to enable data modernization, focusing on reliability, observability, performance, and security.

The role combines infrastructure and data engineering, requiring distributed systems expertise, cloud skills, and collaboration with developers, data scientists, and business stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
• Advanced degree in Computer Science, Data Engineering, or related field preferred.
• 5–8+ years of experience in infrastructure/cloud/data/platform engineering.
• Experience with analytics, data science, or machine learning workloads in production.
• Experience with Infrastructure as Code and automation for platform provisioning and operations.
• Strong understanding of distributed systems and cloud-based data platforms.

Responsibilities

• Design, build, and operate scalable data platforms and pipelines.
• Collaborate with cloud engineers, data scientists, and analysts.
• Ensure security, governance, and compliance for data platforms.
• Develop monitoring and observability solutions for platform health.
• Lead cost optimization and reliability improvements across data infrastructure.

Skills

Distributed systems

Cloud engineering

Data platforms

Monitoring/observability

Troubleshooting

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Advanced degree in Computer Science, Data Engineering, or related field (preferred)

Tools

Kubernetes

Terraform

Python

Ansible

Job description

Primerica in Duluth, GA is seeking a Data Platform Engineer to design, build, and operate scalable data platform infrastructure that supports analytics workloads. You will work in the Cloud Engineering group to enable data modernization, focusing on reliability, observability, performance, and security.

The role combines infrastructure and data engineering, requiring distributed systems expertise, cloud skills, and collaboration with developers, data scientists, and business stakeholders.