LA Kings - Sr. Data Engineer

<p><strong>Company Information</strong><br>For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.<br><br>Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.<br><br>If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!</p> <p><strong><u>JOB DESCRIPTION:</u></strong></p> <p>The Senior Data Engineer will play a pivotal role in optimizing and architecting our data warehouse across various sources. This role will design and optimize data models, storage structures, and compute workflows, ensuring reliability, governance, and long‑term maintainability. The engineer will develop robust ELT pipelines, establish engineering best practices, and partner closely with cross‑functional teams to deliver a unified, trusted data ecosystem that powers advanced analytics, reporting, and machine learning initiatives.</p> <p>This is an on-site role based in El Segundo, CA.</p> <p><strong><u>ESSENTIAL FUNCTIONS:</u></strong></p> <ul> <li>Develop scalable data pipelines to support both batch processing and real‑time streaming workloads.</li> <li>Lead end‑to‑end data architecture decisions and development to ensure scalability, reliability, and long‑term platform evolution</li> <li>Work across platforms to integrate data from Databricks, CRM systems, and external systems into a unified, reliable ecosystem</li> <li>Establish best‑practice warehouse architecture that ensures consistency, governance, and high‑quality data across the platform.</li> <li>Drive automation initiatives to reduce manual workflows and improve pipeline reliability.</li> <li>Ensure platform observability through monitoring, alerting, logging, and cost‑optimization strategies</li> <li>Mentor junior engineers through code reviews, technical guidance, and support in developing strong engineering practices</li> <li>Collaborate with cross‑functional partners (Analytics, Ticketing, Marketing) to translate b