Data Platform Reliability Engineer

Description 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-codeDefine and operate SLIs, SLOs, service tiers, alerting, incident response, root-cause analysis, and post-incident improvement practicesImplement observability across data pipelines, platform services, workloads, APIs, and AI services.Improve platform security, access, secrets management, resilience, disaster recovery, capacity, and performancePartner with engineering teams to embed reliability and operability into new products before production launchRepresent the function in cross-functional discovery, architecture, governance, operational-readiness, and continuous-improvement activities as appropriateStay current on relevant data, AI, digital, software, and industry practices and apply new capabilities when they create practical business valueIdentify, 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 quicklyConduct all business in a professional and ethical mannerAbility to travel overnight Qualifications Education and/or Experience Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience5+ years of platform engineering, SRE, DevOps, DataOps, cloud infrastructure, database/platform administration, or related experienceStrong automation skills using Python, PowerShell, Go, or comparable languages and infrastructure-as-code toolsExperience with observability, incident management, CI/CD, cloud security, reliability engineering, and production operationsWorking knowledge of modern data platforms and distributed systems.Demonstrated ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environmentBuild trusted relationships across the organization, balancing enterprise standards with business needs and operating realities Preferred Qualifications Experience with Snowflake, Azure, Kubernetes, GitHub, Terraform/OpenTofu, Datadog/OpenTelemetry, Kafka or Azure Event Hubs and streaming platforms, Airflow/Dagster-class orchestration, LLM and AI workload observability, or comparable technologies is preferredExperience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business is a plusExperience working in a large enterprise with complex enterprise environments is preferredExperience founding, incubating, or building new products, capabilities, or businesses from the ground up is a plus Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including: Medical, Dental and Vision401(K)Employee Stock Purchase PlanFlex Spending AccountsLife & Disability InsuranceVacation, Sick, Personal Time and Company HolidaysMultiple Voluntary and Company provided Benefits Build YOUR future with D.R. Horton, America’s Builder. #WeBuildPeopleToo