Job description

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 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.

Requirements

Must-haves

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
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
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiawsmachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off