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Platform Engineer, Data & Analytics Platforms

The Hershey Company
Hershey, PA or Dallas, TX Posted Aug 25, 2026
On-site

About this role

Note: If you apply for a role at Hershey through our career’s website, we may use technologies that use automation to filter your candidacy based on objective criteria. We also use AI-enabled tools that help us facilitate the selection of our future Hershey talent. These tools may help with activities such as matching and scoring candidates to roles based on requirements and scheduling interviews. These systems process only the information you provide in your application, including your resume, work history, education, and responses to screening questions. While these technologies assist with certain steps in our recruitment process and may provide recommendations, all final decisions, including those affecting whether candidates advance to subsequent stages in the applicant process, are made by our talent acquisition teams with meaningful human review and independent judgment. Depending on your location and the specific role you apply for, additional disclosures about our use of AI in recruitment may be provided to you separately.

Posted Date:

Aug 25, 2026

Requisition Number:

128699

Location: Hershey, PA or Dallas, TX

Summary

The Platform Engineer, Data & Analytics Platforms runs and continuously improves the enterprise data and analytics platforms that power Hershey’s data products. This role focuses on platform operations and enablement—standardizing environments, automating delivery, improving reliability and observability, and reducing time-to-value for Data Product teams across development, test, and production.

The Data Platform Engineer partners with Senior Data Engineers, Solution Architects, the Cloud COE, and Security to define guardrails and operating standards, deliver self-service tooling, and keep the platform cost-effective, secure, observable, reliable, and scalable.

What We Are Building for Hershey

This role supports Hershey’s enterprise data strategy by operating and enabling a trusted, governed data platform at scale. The platform team turns one-off solutions into reusable templates, guardrails, and automated workflows—improving reliability, cost transparency, and developer experience so Data Product teams can deliver high-quality data products faster.

Major Duties & Responsibilities

  1. Data Platform Components
  • Own and operate core data platform components (with emphasis on Databricks and supporting Azure services) across development, test, and production.
  • Build and maintain CI/CD and environment standardization using Azure DevOps and infrastructure-as-code (e.g., Terraform) to improve consistency, security, and delivery speed.
  • Implement observability (logging, monitoring, alerting, dashboards) and maintain operational runbooks to enable proactive detection and faster recovery.
  • Implement identity/access controls, secrets management, and configuration standards in partnership with the Cloud COE and Security.
  • Plan and execute platform releases and upgrades (libraries, runtimes, clusters/pools) and coordinat

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