platform engineer

Ticketmaster is the world's largest ticket marketplace and a leading global provider of enterprise tools and services for the live entertainment business, connecting people around the world to live events.

• Lead the design and evolution of scalable data, analytics, and AI platforms supporting customer operations and automation;
• Architect and optimize Databricks-based data pipelines and enterprise data platforms;
• Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities;
• Deliver actionable insights and executive-level reporting to inform strategic decision-making;
• Establish engineering standards, governance frameworks, and best practices for data quality, platform reliability, CI/CD, and AI lifecycle management;
• Partner across Product, Operations, Engineering, and AI teams to align technology investments with business objectives;
• Provide technical leadership, coaching, and guidance to engineers and data scientists.

• Strong experience designing scalable data platforms, enterprise data architectures, and Databricks-based operational intelligence solutions;
• Proven experience as a Data Engineer, Analytics Engineer, Data Scientist, Machine Learning Engineer, AI Engineer, or related technical leadership role;
• Strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines;
• Experience developing AI/ML solutions using Python and modern data science frameworks;
• Strong background in statistics, machine learning, NLP, forecasting, and operational analytics;
• Deep understanding of conversational AI ecosystems, intent modeling, NLU analytics, and AI performance measurement;
• Experience implementing CI/CD frameworks, version control, automated testing, and DevOps best practices;
• Experience building scalable dashboards and reporting solutions using BI tools and modern visualization frameworks;
• Ability to independently lead complex initiatives with competing priorities;
• Strong communication, stakeholder management, and problem-solving skills;
• Nice to have: Generative AI, LLM orchestration, prompt engineering, AI-assisted automation workflows, Kubernetes, Docker, GitLab CI/CD, modern ML deployment frameworks, experience supporting global or enterprise-scale customer operations environments, knowledge of contact center platforms such as Zendesk, Five9, Amelia, or conversational AI tooling.

• No conditions specified