OVERVIEW OF THE COMPANY
JOB DESCRIPTIONABOUT THE ROLE
We are looking for a Director of Data Engineering to provide technical and leadership across Consumer Experience data initiatives. In this role, you will lead the data engineering teams supporting Fox One, Sports, Entertainment, and News, driving a cohesive strategy that unifies consumer interactions, subscriptions, and digital operations across all Fox properties.
You will be responsible for building and evolving a central consumer data foundation that brings together critical engagement, account, and behavioral data, creating a unified ecosystem for analytics and AI-powered consumer experiences. You will partner closely with engineering, product, marketing, and business leaders to translate consumer experience objectives into scalable data capabilities while managing and developing high-performing data engineering leaders and teams.
A SNAPSHOT OF YOUR RESPONSIBILITIES
- Lead, mentor, and grow data engineering teams and engineering leaders responsible for building scalable data platforms supporting Fox One, Sports, Entertainment, and News brands
- Define and execute an overarching data engineering strategy to unify consumer interactions, subscription lifecycles, and operational workflows across multiple Fox digital properties
- Architect and establish a centralized consumer data platform that aggregates customer engagement, subscription events, and behavioral data across platforms
- Enable personalized consumer experiences and cross-property insights by building trusted, high-throughput streaming and batch data pipelines
- Partner closely with Product, Analytics, Marketing, and Operations stakeholders to drive data integration, user growth, subscription retention, and seamless user journeys
- 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 overarching technical vision and architectural guidance to data engineering managers and leads across multiple brand verticals
- Recruit, mentor, and develop engineering talent while fostering a culture of technical excellence, accountability, collaboration, and innovation
WHAT YOU WILL NEED
- 10+ years of experience in data engineering, software engineering, data platforms, or related technical roles, including 5+ years leading and developing engineering teams
- Deep technical understanding of modern data engineering architectures, with 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 and 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
NICE TO HAVE, BUT NOT A DEALBREAKER
- Experience working in consumer digital media, direct-to-consumer (DTC) streaming services, subscription platforms, or digital publishing
- Experience building data foundations or platforms that support generative AI, agentic AI, or agent-to-agent workflows
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Learn more about Fox Tech at https://tech.fox.com
#foxtechWe 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.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $179,000.00-209,000.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.View more detail about FOX Benefits.
Skills Required
- 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
- Experience designing and scaling enterprise-grade data platforms, pipelines, and services
- Hands-on knowledge of AWS, Databricks, Apache Spark, and related distributed data processing frameworks
- Strong understanding of data lake, data warehouse, and lakehouse architectures
- Experience with modern data orchestration and transformation frameworks
- Strong understanding of data modeling, data contracts, metadata management, lineage, governance, data quality, and observability
- Experience designing data platforms supporting BI, analytics, automation, machine learning, and AI-powered applications
- Understanding of enterprise data, metadata, semantic models, and contextual information for AI agents and agentic workflows
- Experience establishing engineering standards for scalability, reliability, performance, security, and cost optimization in cloud-based data environments
- Strong knowledge of software engineering principles, APIs, distributed systems, and integration patterns
- Ability to evaluate emerging technologies, make architectural tradeoffs, and set technical roadmaps
- Ability to translate complex business requirements into scalable technical solutions
- Ability to communicate architecture, technical decisions, and tradeoffs to technical and business stakeholders
- Strong people leadership skills, including hiring, mentoring, developing, and retaining engineering talent
- Experience in consumer digital media, direct-to-consumer streaming, subscription platforms, or digital publishing
- Experience building data foundations supporting generative AI, agentic AI, or agent-to-agent workflows
Fox Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fox Corporation and has not been reviewed or approved by Fox Corporation.
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Healthcare Strength — Healthcare and wellness programs are described as broad, including multiple medical plans, dental and vision, mental-health resources, and telemedicine, with employee costs reportedly favorable versus national averages. Feedback suggests these offerings are a strong element of the overall package for eligible employees.
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Retirement Support — 401(k) plans with company contributions and matching, plus Roth and post-tax options, are highlighted as strengths. Some materials also note additional match opportunities tied to student-loan repayments, reinforcing retirement as a competitive pillar.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption and surrogacy reimbursement, and backup care (including for elders and pets) are emphasized. These programs signal a comprehensive approach to family support.
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What We Do
Fox Corporation produces and distributes compelling news, sports and entertainment content through its iconic domestic brands including: FOX News, FOX Sports, the FOX Network, and the FOX Television Stations. These brands hold cultural significance with consumers and commercial importance for distributors and advertisers. The breadth and depth of our footprint allows us to deliver content that engages and informs audiences, develops deeper consumer relationships and creates more compelling product offerings. FOX maintains an impressive track record of news, sports, and entertainment industry success that will shape our strategy to capitalize on current strengths and invest in new initiatives. For more information about Fox Corporation, please visit www.FoxCorporation.com.
