Data Engineering Manager, Live Nation

• The ideal candidate will have a deep understanding of data platforms and tools, as well as experience designing and implementing data pipelines and ETL processes
• Bachelor's or Master's degree in Computer Science, Engineering, or relevant experience hands-on with data engineering
• Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL
• Experience designing and implementing data pipelines and ETL processes
• Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in production
• Familiarity with Git CI/CD and MLflow for managing and tracking code deployment or model versions
• Experience with cloud-based data platforms such as AWS or Google Cloud Platform
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data infrastructure issues
• Proficient collaborating with data scientists and operational teams to understand their requirements and assist implementation of complex data pipelines
• A deep product focused mindset, with a desire to understand your customers and what will make their use of your output easier and more efficient
• Curious by nature, enjoy looking into problems around your core tasks, experimenting with potential solutions

Desirable

• You will be joining the Data Science and Engineering team to help get the most value out of our real-time data streams with a focus on elevating business decisions and ensuring genuine fans have the best opportunity to buy tickets
• We are seeking a skilled Data Engineering Manager to join and lead our growing Data Engineering team and play a critical role in developing and maintaining our data infrastructure
• As a member of the Data Science and Engineering leadership team, you will be key in driving the technical strategy and vision for data infrastructure, ensuring alignment with business objectives, and overseeing the delivery of complex data-related projects
• Lead the Data Engineering team in delivering high-quality data solutions that meet business needs
• Collaborate with cross-functional teams, including Data Science, Product, and Business stakeholders to define technical requirements and ensure effective communication of data-related projects
• Develop and maintain a deep understanding of the company's data landscape, identifying opportunities for improvement and innovation
• Define and implement the technical strategy for data infrastructure, including design, development, deployment, and maintenance of large-scale data systems
• Oversee the delivery of complex data-related projects, ensuring timely completion, quality, and adherence to budget and resource constraints
• Foster a culture of collaboration, knowledge-sharing, and continuous learning within the Data Engineering team
• Mentor junior engineers, providing guidance and support in their professional development
• Ensure compliance with data security and privacy policies, and implement appropriate access controls and data governance frameworks