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 atwww.drhorton.comfor more information.

D.R. Horton, Inc.is currently looking for aData 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 Responsibilitiesinclude 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

Education and/or Experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience
• 5 years of platform engineering, SRE, DevOps, DataOps, cloud infrastructure, database/platform administration, or related experience
• Strong automation skills using Python, PowerShell, Go, or comparable languages and infrastructure-as-code tools
• Experience with observability, incident management, CI/CD, cloud security, reliability engineering, and production operations
• Working knowledge of modern data platforms and distributed systems.
• Demonstrated ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment
• Build 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 preferred
• Experience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business is a plus
• Experience working in a large enterprise with complex enterprise environments is preferred
• Experience 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 Vision
• 401(K)
• Employee Stock Purchase Plan
• Flex Spending Accounts
• Life & Disability Insurance
• Vacation, Sick, Personal Time and Company Holidays
• Multiple Voluntary and Company provided Benefits

/Build YOUR future with D.R. Horton, America’s Builder.* *#WeBuildPeopleToo/

Job: *Executive

Organization: *Corporate

Title: Data Platform Reliability Engineer

Location: TX-Arlington

Requisition ID: 2605442