Principal Engineer

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

The Fox Data Platform team is seeking a Principal Engineer with strong expertise in Data Engineering and enterprise AI transformation. This role bridges the gap between data engineering and AI/ML infrastructure, with a focus on enabling Generative AI use cases. 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

• Define reference architectures and blueprints for secure, scalable, and cost-effective Gen AI deployments
• Build and optimize applications using foundation models (e.g., GPT-4, Gemini, Claude, Mistral, open-source LLMs)
• Create intelligent agents, copilots, and chat-based interfaces for analytics, data governance, and automation

• 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

• 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

• 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

• Advance a culture of operational excellence through continuous 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

• Hands-on experience in delivering AI copilots, internal knowledge assistants, autonomous agents and NLP based bots

• 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

• 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

• 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

• Effectively manage competing priorities and promote agile delivery

• Excellent problem-solving skills and attention to detail

• Exceptional leadership skills with a track record of mentoring top-tier data engineers

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