Director, Data Engineering

Fox•Los Angeles, CA

About The Position

Fox Corporation is seeking a Director of Data Engineering to provide technical and people leadership across strategic data initiatives supporting its Advertising Sales organization. The role leads development of scalable data solutions that drive Business Intelligence (BI) automation and enable agent-to-agent advertising experiences. The Director will build and evolve a common context layer that unifies critical data and business context as a trusted foundation for analytics, automation, and AI-powered workflows. The role partners with engineering, product, data, and business stakeholders to translate Ad Sales needs into scalable data capabilities while leading and developing a high-performing engineering team.

Requirements

10+ years of experience in data engineering, software engineering, data platforms, or related technical roles.
5+ years leading and developing engineering teams.
Deep technical understanding of modern data engineering architectures and experience designing and scaling enterprise-grade data platforms, pipelines, and services.
Hands-on knowledge of cloud and modern data technologies such as AWS, Databricks, Apache Spark, and related distributed data processing frameworks.
Strong understanding of data lake, data warehouse, and lakehouse architectures, including structuring and serving large-scale analytical datasets.
Experience with modern data orchestration and transformation frameworks and patterns for reliable, maintainable, reusable data pipelines.
Strong understanding of data modeling, data contracts, metadata management, lineage, governance, data quality, and observability.
Experience designing data platforms that support BI, analytics, automation, machine learning, and AI-powered applications.
Understanding of how enterprise data, metadata, semantic models, and contextual information can be structured and exposed to support AI agents and agentic workflows.
Experience establishing engineering standards for scalability, reliability, performance, security, and cost optimization across cloud-based data environments.
Strong knowledge of software engineering principles, APIs, distributed systems, and integration patterns relevant to modern data platforms.
Ability to evaluate emerging technologies, make architectural tradeoffs, and set a technical roadmap balancing immediate business needs with long-term platform strategy.
Ability to translate complex business requirements into scalable technical solutions and communicate architecture, technical decisions, and tradeoffs to technical and business stakeholders.
People leadership skills and experience hiring, mentoring, developing, and retaining high-performing engineering talent.

Nice To Haves

Experience working in advertising, Ad Sales, advertising technology, or media technology.
Experience building data foundations or platforms that support generative AI, agentic AI, or agent-to-agent workflows.

Responsibilities

Lead and grow a Data Engineering & BI team building scalable data platforms, pipelines, and services for Ad Sales.
Define and execute technical strategy for Ad Sales BI automation, improving accessibility, consistency, and reliability of business-critical data and insights.
Architect and build a common context layer that unifies data and business context for analytics, automation, and AI-driven experiences.
Develop trusted, reusable data foundations and context to enable agent-to-agent experiences and intelligent applications.
Partner with Product, Engineering, Analytics, and Ad Sales stakeholders to identify workflow automation opportunities and improve data-driven decision-making.
Establish engineering standards and best practices for data architecture, data quality, governance, observability, scalability, and reliability.
Modernize and automate data workflows to reduce manual processes and accelerate delivery of actionable insights.
Provide technical direction on complex data engineering challenges while balancing business priorities with long-term platform strategy.
Recruit, mentor, and develop engineering talent, fostering technical excellence, accountability, collaboration, and innovation.