Fox Corporation
Website:
foxcorporation.com
Company:
https://www.linkedin.com/company/fox-corporation
Seniority: Not Applicable
Industries: Broadcast Media Production and Distribution
Job details:
OVERVIEW OF THE COMPANY
Fox Corporation 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.
JOB DESCRIPTION Fox Corporation: Fox Corporation is home to industry-leading brands including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. We combine innovative technology, deep data insights, and world-class content to shape the future of digital entertainment. Our DTC platforms are built to deliver highly personalized, scalable user experiences to millions of global users.
About The Role
FOX Corporation is looking for an experienced Engineering Manager, Data Engineering to lead our Data Engineering team responsible for building scalable, reliable, and high-performance data platforms that power business intelligence, analytics, machine learning, and operational reporting across FOX's Digital Product ecosystem. You will be responsible for building, mentoring, and scaling a high-performing engineering team while driving technical excellence and delivering robust data solutions.
Our Data Engineering team is responsible for designing, developing, and maintaining modern cloud-based data platforms that ingest, process, transform, and deliver data from millions of customer interactions across our digital products. Leveraging cloud-native technologies, distributed computing frameworks, and modern data architectures, the team builds reliable and scalable data pipelines that enable real-time analytics and business insights. With a strong emphasis on data quality, governance, scalability, and operational excellence, the team ensures trusted data is available across the organization.
As an Engineering Manager – Data Engineering , you will lead and grow a high-performing engineering team responsible for delivering scalable data platforms and pipelines. You will partner closely with Product, Analytics, Data Science, Platform Engineering, DevOps, and Architecture teams to drive data initiatives while fostering a culture of ownership, innovation, collaboration, and continuous improvement.
A SNAPSHOT OF YOUR RESPONSIBILITIES
- Lead, mentor, and grow a team of Data Engineers through coaching, feedback, and career development.
- Foster a culture of ownership, collaboration, innovation, and continuous improvement within the engineering team.
- Drive the design, development, and optimization of scalable batch and real-time data pipelines.
- Partner with senior engineers to improve data architecture, platform scalability, reliability, security, and performance.
- Lead technical design reviews and provide guidance on modern data engineering best practices.
- Own the delivery of data engineering initiatives from planning through production deployment.
- Balance business priorities with long-term platform scalability, maintainability, and technical debt reduction.
- Collaborate closely with Product Managers, Data Scientists, Analytics teams, Platform Engineering, DevOps, and Architecture to define priorities and delivery roadmaps.
- Ensure engineering teams follow Agile development methodologies and continuous integration and deployment practices.
- Establish engineering standards for data quality, observability, monitoring, testing, governance, and documentation.
- Drive improvements in data platform performance, availability, reliability, and operational efficiency.
- Monitor project execution, proactively identify delivery risks, and remove technical and organizational blockers.
- Mentor engineers while supporting technical growth, career development, and succession planning.
- Communicate project status, technical trade-offs, delivery risks, and engineering metrics to senior leadership and stakeholders.
- Align Data Engineering initiatives with broader Digital Product Engineering and enterprise data strategy.
WHAT YOU WILL NEED
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- 8+ years of software or data engineering experience, including 3+ years leading Data Engineering teams.
- Strong hands-on experience designing and building scalable data platforms and distributed data processing systems.
- Experience with Python, SQL, Spark, Kafka, Airflow, Databricks, Snowflake, or similar modern data technologies.
- Experience building ETL/ELT pipelines and working with structured and semi-structured datasets.
- Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with data lake and data warehouse architectures.
- Knowledge of data governance, metadata management, data quality, and security best practices.
- Experience with CI/CD pipelines, Infrastructure as Code, and DevOps practices.
- Proven ability to manage engineering priorities, execution, and stakeholder expectations.
- Experience leading Agile software development teams using Scrum or Kanban methodologies.
- Excellent leadership, coaching, communication, and people management skills.
- Strong analytical and problem-solving abilities with a passion for building high-performing engineering teams.
NICE TO HAVE
- Experience working with streaming data platforms such as Apache Kafka or Amazon Kinesis.
- Experience supporting Machine Learning and AI data platforms.
- Knowledge of data cataloging, lineage, governance, and privacy frameworks.
- Experience with orchestration tools such as Airflow or Dagster.
- Familiarity with observability platforms including Datadog, Grafana, Splunk, or CloudWatch.
- Experience building enterprise-scale data platforms supporting millions of users.
- Experience leading globally distributed engineering teams.
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.
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