Fox Corporation Logo

Fox Corporation

Director, Data Engineering

Posted 2 Days Ago
Be an Early Applicant
In-Office
Los Angeles, CA, USA
179K-209K Annually
Expert/Leader
In-Office
Los Angeles, CA, USA
179K-209K Annually
Expert/Leader
Leads data engineering teams and strategy across Fox digital properties. Builds a centralized consumer data platform integrating engagement, subscription, account, and behavioral data through scalable streaming and batch pipelines. Establishes standards for architecture, governance, quality, observability, reliability, security, and cost optimization. Partners with product, analytics, marketing, and operations leaders to enable personalization, business insights, automation, machine learning, and AI-powered experiences. Recruits, mentors, and develops engineering leaders and teams.
The summary above was generated by AI

OVERVIEW OF THE COMPANY

JOB DESCRIPTION

ABOUT 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

#Ll-CC1

#Ll-Hybrid

Learn more about Fox Tech at https://tech.fox.com 

#foxtech

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.

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.

Fox Corporation Los Angeles, California, USA Office

Los Angeles, CA, United States, 90067

Similar Jobs

12 Days Ago
In-Office
180K-264K Annually
Expert/Leader
180K-264K Annually
Expert/Leader
Cloud • Information Technology • Machine Learning
Leads CoreWeave’s multidisciplinary data center engineering organization and sets technical direction for its global portfolio. Governs Basis of Design documents, reference designs, standards, and long-term infrastructure roadmaps. Oversees integrated engineering across electrical, mechanical, civil, structural, architectural, controls, and life-safety disciplines; leads technical reviews, innovation, reliability, sustainability, supplier engagement, and resource planning. Partners with design, construction, commissioning, operations, technology, and supply chain teams to deliver scalable, high-density AI infrastructure.
Top Skills: BmsControls SystemsCooling PlantsEnergy StorageFire Protection SystemsGeneratorsLife-Safety SystemsLiquid CoolingLow-Voltage Power DistributionMedium-Voltage Power DistributionModular InfrastructureNetwork InfrastructureStructured CablingSubstationsUps SystemsWater Systems
2 Days Ago
In-Office
Los Angeles, CA, USA
179K-229K Annually
Expert/Leader
179K-229K Annually
Expert/Leader
Digital Media • News + Entertainment
Leads the Data Engineering and BI team supporting Advertising Sales. Defines technical strategy, architects scalable data platforms and context layers, modernizes workflows, enables AI and agentic applications, and establishes standards for governance, reliability, security, and cost optimization. Partners with product, engineering, analytics, and business stakeholders while recruiting, mentoring, and developing engineering talent.
Top Skills: SparkAPIsArtificial IntelligenceAWSBiData ContractsData GovernanceData LakesData LineageData ModelingData ObservabilityData OrchestrationData QualityData Transformation FrameworksData WarehousesDatabricksDistributed SystemsLakehousesMachine LearningMetadata Management
9 Days Ago
In-Office or Remote
USA
153K-283K Annually
Senior level
153K-283K Annually
Senior level
Biotech • Pharmaceutical
Lead enterprise data engineering standards, governed pipelines, data contracts, observability, quality controls, lineage, testing, and compliant data delivery. Partner with governance, privacy, architecture, modeling, and platform teams to ensure reliable, traceable, protected data products. Monitor operational performance, automate deployment and validation, and resolve pipeline and data reliability issues across complex enterprise environments.
Top Skills: Data ArchitectureData EngineeringData GovernanceData LineageData ObservabilityData PipelinesDataopsMetadata ManagementSchema Validation

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account