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Director, Data Engineering

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Fox
Full Time position
Listed on 2026-10-29
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below
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 life cycles, 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 talentNICE TO HAVE, BUT NOT A DEALBREAKERExperience working in consumer digital media, direct-to-consumer (DTC) streaming services, subscription platforms,…
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