Data Platform Reliability Engineer

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries. Please visit our website at www.drhorton.com for more information.

D.R. Horton, Inc. is currently looking for a Data Platform Reliability Engineer. As the nation's largest homebuilder by volume, D.R. Horton is transforming how it uses data, AI, and digital solutions for the next generation of homebuilding, and we pair the reach of a national enterprise with a culture built on local ownership, practical innovation, and deep business partnerships. Our teams focus on solutions that work in the field and deliver real results, not technology for its own sake. In this role, you'll have a critical opportunity to shape modern capabilities that will influence how the company operates for years to come.

The Data Platform Reliability Engineer (also known as Platform Engineer / Data Reliability) role will help ensure the modern data foundation is reliable, observable, automated, and ready to support analytics and AI at enterprise scale. This role will engineer monitoring, resilience, performance, deployment, and operational automation while improving how teams detect, prevent, and resolve platform issues. The ideal candidate brings an SRE mindset, strong engineering discipline, and a desire to build platforms that teams can trust as critical business capabilities. This role's primary scope is the reliability and operation of the data and AI platform, complementing the DevSecOps Engineer (software delivery platform) and the AI Platform Engineer (model and agent services). Success in this role means platform teams can state and meet reliability targets, incidents are rarer and shorter, and operational toil is replaced by automation.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Automate platform provisioning, configuration, deployment, monitoring, health checks, and remediation using code and infrastructure-as-code
• Define and operate SLIs, SLOs, service tiers, alerting, incident response, root-cause analysis, and post-incident improvement practices
• Implement observability across data pipelines, platform services, workloads, APIs, and AI services.
• Improve platform security, access, secrets management, resilience, disaster recovery, capacity, and performance
• Partner with engineering teams to embed reliability and operability into new products before production launch
• Represent the function in cross-functional discovery, architecture, governance, operational-readiness, and continuous-improvement activities as appropriate
• Stay current on relevant data, AI, digital, software, and industry practices and apply new capabilities when they create practical business value
• Identify, shape, and pilot new opportunities where data, AI, and digital capabilities can create business value, operating with an owner's mindset and a bias toward building, testing, and learning quickly
• Conduct all business in a professional and ethical manner
• Ability to travel overnight