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Medium due to recognizable global brand, metro hiring, and broad data engineering skillset required.
Low because core data engineering and leadership skills transfer easily across industries.
High because JD mandates 8+ years, leadership experience, and specific data platform technologies.
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Lead and scale a Data Engineering team building scalable, reliable data platforms powering BI, analytics, ML, and operational reporting across FOX's Digital Product ecosystem.
Own delivery of data engineering initiatives including design, development, optimization, and production deployment of batch and real-time data pipelines.
Collaborate with cross-functional teams to define priorities, improve data architecture, ensure data quality, and drive technical standards and operational excellence.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
8+ years software or data engineering experience with at least 3 years in Data Engineering team leadership.
Hands-on experience with scalable data platforms, distributed data processing, and technologies like Python, SQL, Spark, Kafka, Airflow, Databricks, Snowflake.
Experience with cloud platforms (AWS/Azure/GCP), data lake/warehouse architectures, data governance, and Agile development methodologies.
Proven track record in managing and mentoring data engineering teams delivering high-quality, scalable data solutions for large-scale digital products.
Strong technical leadership balancing immediate business priorities with long-term platform scalability and maintainability.
Experienced working in cross-functional environments with Product, Data Science, Platform Engineering, DevOps, ensuring alignment to enterprise data strategy.