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About the Role

We are seeking a Director of Data Engineering to provide technical and people leadership for strategic data initiatives supporting our Advertising Sales organization. This role involves leading the development of scalable data solutions to enhance Business Intelligence (BI) automation and enable next-generation advertising experiences. You will build and evolve a common context layer for analytics, automation, and AI-powered workflows, partnering with various stakeholders to translate Ad Sales needs into scalable data capabilities and lead a high-performing engineering team.

Responsibilities

Lead and grow a high-performing Data Engineering & BI team responsible for building scalable data platforms, pipelines, and services supporting Ad Sales.
Define and execute the technical strategy for Ad Sales BI automation, improving the accessibility, consistency, and reliability of business-critical data and insights.
Architect and build a common context layer that unifies data and business context to support analytics, automation, and AI-driven experiences.
Enable agent-to-agent experiences by developing trusted, reusable data foundations and context that AI agents and intelligent applications can leverage.
Partner with Product, Engineering, Analytics, and Ad Sales stakeholders to identify opportunities to automate workflows and improve data-driven decision-making.
Establish engineering standards and best practices across data architecture, data quality, governance, observability, scalability, and reliability.
Drive the modernization and automation of data workflows, reducing manual processes and accelerating the delivery of actionable insights.
Provide technical direction on complex data engineering challenges while balancing near-term business priorities with long-term platform strategy.
Recruit, mentor, and develop engineering talent while fostering a culture of technical excellence, accountability, collaboration, and innovation.

Requirements

10+ years of experience in data engineering, software engineering, data platforms, or related technical roles.
5+ years of experience leading and developing engineering teams.
Deep technical understanding of modern data engineering architectures.
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 approaches for structuring and serving large-scale analytical datasets.
Experience with modern data orchestration and transformation frameworks and patterns for building reliable, maintainable, and 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 around 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.
Proven ability to evaluate emerging technologies, make architectural tradeoffs, and set a technical roadmap that balances immediate business needs with long-term platform strategy.
Demonstrated ability to translate complex business requirements into scalable technical solutions.
Ability to communicate architecture, technical decisions, and tradeoffs to both technical and business stakeholders.
Strong people leadership skills with experience hiring, mentoring, developing, and retaining high-performing engineering talent.

Skills

AWS
Databricks
Apache Spark
Data lake architectures
Data warehouse architectures
Lakehouse architectures
Data orchestration frameworks
Data transformation frameworks
Data modeling
Data contracts
Metadata management
Lineage
Governance
Data quality
Observability
Software engineering principles
APIs
Distributed systems
Integration patterns

Location

Remote

Work Type

Hybrid
Full-time

Experience Level

Director
10+ years of experience in data engineering, software engineering, data platforms, or related technical roles
5+ years leading and developing engineering teams

Salary/Compensations

$179,000.00 - $228,500.00 annually

Benefits

Annual discretionary bonus
Medical/dental/vision
Insurance
401(k) plan
Paid time off
Other benefits in accordance with applicable plan documents
Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement

About the Company

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group.
We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

Equal Opportunity

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law.
We will consider for employment qualified applicants with criminal histories consistent with applicable law.