Director of Data Engineering

D.R. Horton•Arlington, TX

20h

About The Position

D.R. Horton, Inc. is currently looking for a Director of Data Engineering. The right candidate is responsible for the strategic direction, architectural excellence, and operational execution of the company’s data engineering capabilities. This role is responsible for building scalable data architecture, enabling customer data integration, and ensuring reliable data pipelines that support digital marketing, customer analytics, and personalization strategies.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field required
10+ years of experience in data engineering, data architecture, or related roles
5+ years of leadership experience managing data engineering or platform teams
High-growth tech company or complex enterprise background
Proven track record building high-performing data engineering teams
Ability to apply common sense understanding to carry out instructions furnished in written and oral form or via DRH applications
Ability to sit for majority of 8-hour workday; use hands and fingers to handle or feel; reach with hands and arms; talk and hear. Specific vision abilities required by this job include close vision and peripheral vision
The noise level is generally moderate

Nice To Haves

Deep hands-on expertise with Snowflake (architecture, cost, governance)
Strong dbt expertise: modeling, testing, macros, project structure
Fivetran or equivalent ELT platform experience at scale
Data modeling fluency: dimensional, entity-relationship

Responsibilities

Define and execute the technical vision and roadmap for data engineering aligned with company data strategy and Marketing Technology objectives
Oversee the architecture, reliability, performance, cost management, and governance of the Snowflake data platform and all pipelines that feed it
Establish metrics for pipeline health, data quality, freshness, and Snowflake compute efficiency
Guide critical architectural decisions across Snowflake schema design, dbt project structure, Fivetran connector management, and pipeline orchestration
Drive adoption of automated dbt testing, pipeline observability, data contracts, and cost tagging; manage technical debt strategically
Lead incident response and post-mortems for pipeline failures, data quality incidents, and platform outages
Collaborate with Analytics, Data Science, Product, and Marketing to shape the data product roadmap and ensure the platform meets analytical needs
Coordinate with Security, Legal, and Compliance on data governance, PII handling, and regulatory requirements
Build and lead a team of data engineers and tech leads spanning ingestion, transformation, and data product delivery
Evaluate and recommend emerging data technologies, tools, and platforms to enhance MarTech capabilities and operational efficiency
Conduct all business in a professional and ethical manner to serve customers and increase the goodwill and profit of the company