Essential Duties and Responsibilities include the following. Other duties may be assigned.
Define reference patterns and engineering standards for ingestion, transformation, orchestration, testing, data products, performance, and maintainability
Establish software engineering practices for data including Git, CI/CD, automated testing, observability, documentation, and code quality
Design and build complex enterprise pipelines and reusable data products across core business domains; ensure systems are designed for resilience, observability, security, and enterprise-grade scale by default
Lead technical design reviews and resolve high-complexity data engineering, performance, reliability, and integration issues
Collaborate on architecture decisions with long-term impact on cost, scalability, regulatory compliance, and data usability
Evaluate and guide adoption of major technology shifts (e.g., Fabric evolution, AI/ML data integration, real-time pipelines)
Mentor engineers and accelerate the transition from report-specific pipelines toward governed reusable enterprise data products
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
Facilitate 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
10 or more years of data engineering, software engineering, analytics engineering, or related experience with enterprise-scale data platforms
Expert SQL and strong proficiency in Python or another modern programming language
Deep experience with cloud data platforms, dimensional and analytical modeling, layered (medallion) architectures and semantic layers, data contracts, orchestration, CI/CD, testing, performance tuning, and data quality
Demonstrated technical leadership through architecture, standards, mentoring, and delivery of complex production systems
Demonstrated ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment
Ability to build trusted relationships across the organization, balancing enterprise standards with business needs and operating realities
Preferred Qualifications
Experience with Snowflake, dbt, Fivetran or comparable ELT tools, Airflow/Dagster or comparable orchestration, Kafka/CDC and streaming, Azure, GitHub, APIs, Iceberg and open table formats, unstructured data pipelines for AI, AI-assisted development, or comparable technologies
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
