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

The FOX Data Platform Team is looking for a Principal Engineer. This is a great opportunity to join a data-first media company and be part of our Enterprise Data Platform team that prides itself in making Fox a data-driven organization. The successful candidate will have a background in serving as a senior technical expert responsible for the design, implementation, and operational excellence of the company’s data engineering solutions playing a pivotal role in driving the technical vision and strategy for data engineering across the organization. If you are passionate about data, you think out of the box, bring new ideas and find creative ways for solving complex business problems with data insights, this role is for you!

A SNAPSHOT OF YOUR RESPONSIBILITIES

Be an expert in the Data Engineering space, build and mentor a community of practice for Data Engineering, fostering an environment of continuous learning and development
Lead the design and architecture of robust, scalable, and efficient data solutions to handle large scale data processing and analytics
Design and develop scalable and reliable data pipelines to support analytics, reporting, and AI use cases
Lead by example by helping team members in solving complex technical problems through hands-on solutioning, providing technical direction and driving the team towards technical expertise. Set high benchmarks by learning from and contributing to the open source community
Drive innovation through research on emerging technologies and tools in the data engineering space. Lead the effort in adopting new data technologies and best practices for continuous improvement of the data ecosystem
Collaborate with business leaders, product managers, data analysts, data scientists, and engineers to understand business needs and translate them into actionable data engineering plans.
Take data insights to the next level by implementing generative AI use cases
Explore, analyze and understand the data from internal and external sources, outline designs to integrate, centralize and unify data
Develop and maintain an enterprise-wide data model and metadata strategy. Incorporate industry trends and best practices in data model design and development frameworks
Create reference designs, standards & best practices to ensure engineering teams build distributed, low latency, reliable data pipelines ensuring the availability and timely delivery of data
Conduct a continuous audit of data management system performance, refine and optimize whenever required
Perform root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement.
Implement data governance and compliance protocols in line with industry and security standards. Be an advocate of data security principles and ensure appropriate security practices are embedded in all implementations
Develop and maintain detailed documentation for systems, data standards, and procedures.
Promote a culture of engineering excellence by defining standards and best practices and conduct periodic reviews to ensure the team adheres to these high standards
Partner with Infrastructure team in creating effective and efficient CI/CD Pipelines
Advance a culture of operational excellence through continouous process improvements, performance tuning, disaster recovery, and high availability strategies.
Communicate complex technical concepts and solutions in a clear and effective manner to a variety of stakeholders.

WHAT YOU WILL NEED

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
10+ years of experience in an expert level data engineering role with hands-on experience in building large scale data processing systems
In-depth knowledge of Data management concepts, data modeling techniques and methodologies in an all-cloud ecosystem dealing with Big Data
Strong experience in designing complex, distributed systems with a focus on reliability and scalability
Good understanding of Data Science, generative AI use cases and LLMs
Proven ability to drive research and technology adoption with measurable business impact.
Expertise in creating end to end data flow architectures and scalable/flexible data models
Strong understanding of modern data platforms and designs - data warehouse, data lake, lake house, data mesh, real-time streaming etc.
Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT)
Experience with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop)
Experience working with real-time data streams processing and ingestion frameworks ( Apache Kafka, Kinesis, Flink or Spark Structured Streaming)
Proficiency in Python, Pyspark
Expertise in Advanced SQL programming and Performance Tuning
Experience with CI/CD using Github Actions or Jenkins
Proficiency in SQL development and database administration
Experience working with structured, semi-structured and unstructured data
Confident in decision making and the ability to explain processes or choices as needed
Excellent multitasking skills and task management strategies
Strong strategic thinking, analytics skills and business acumen
Sees the big picture and is fully aware of technology and business directions
Optimizes the use of all available resources
Effectively manage competing priorities and promote agile delivery
Strong ability to analyze and interpret complex datasets.
Excellent problem-solving skills and attention to detail.
Exceptional leadership skills with a track record of mentoring top-tier data engineers.
Superior communication and interpersonal abilities.

NICE TO HAVE, BUT NOT A DEALBREAKER

Experience in developing and implementing generative AI models and algorithms
Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
Experience in building and deploying generative AI systems in real-world applications

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

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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.

At FOX, we foster a culture and environment where everyone feels welcome and can thrive. We are deeply committed to diversity, equity, and inclusion, including attracting, retaining, and promoting diverse talent across our company. We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. That means reflecting the diversity of the world around us is critical to our company’s success. We ensure that our viewers, communities and employees feel heard, represented, and celebrated both on screen and off.

Click here to learn more about the diverse communities of people behind our brands.

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is: $161,500.00-216,500.00 annually for California. This role is also eligible for an annual discretionary bonus, 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.

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