
Media • Entertainment
Live Nation Entertainment is the global leader in live entertainment, powering unforgettable experiences around the world. Artist-powered and fan-driven, Live Nation works with musicians to bring their creativity to life on stages across the globe. As the top producer of concerts, ticket seller, and brand connector to music, Live Nation's platform leads the market in these three core industries. Their mission extends beyond entertainment, aiming to uplift, inspire, and create memories through the power of live music.
September 6
🐊 Florida – Remote
🗽 New York – Remote
+1 more states
💵 $144k - $180k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🚰 Data Engineer

Media • Entertainment
Live Nation Entertainment is the global leader in live entertainment, powering unforgettable experiences around the world. Artist-powered and fan-driven, Live Nation works with musicians to bring their creativity to life on stages across the globe. As the top producer of concerts, ticket seller, and brand connector to music, Live Nation's platform leads the market in these three core industries. Their mission extends beyond entertainment, aiming to uplift, inspire, and create memories through the power of live music.
• Design and evolve Databricks Lakehouse architecture focusing on scalability, cost efficiency, and reliability • Define and implement a tiered data ecosystem with maturity layers from raw ingestion to analytics-ready data • Outline vision, requirements, and lead development of the Data Lakehouse aligning architecture with business needs • Evaluate and introduce new patterns, tools, or practices for scalability, resilience and reliability and implement them • Develop conceptual, logical, and physical data models to support integrated, reusable and scalable data • Establish and enforce standards for metadata, lineage, and data quality across the ecosystem • Define patterns and playbooks guiding engineering teams in building consistent pipelines • Enhance data discoverability by working with analysts and business stakeholders • Develop and enforce data engineering, security, and data quality standards through automation • Integrate data from diverse sources including real-time and batch processing • Collaborate with engineers, analysts, and business teams to design accessible, usable, and trustworthy solutions • Mentor engineering staff and provide architectural guidance • Lead workshops and training to raise data literacy and promote best practices
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field • 10+ years of tech industry experience • 5+ years experience in architecting and implementing big data strategies • 5+ years expertise with and cloud-based data platforms (Databricks, AWS, Snowflake, Spark) • Deep knowledge of data modeling using Erwin or similar tooling (3NF, dimensional/star schema), medallion architectures, ETL processes, data integration, and Data Warehousing concepts • Experience with Big Data technologies such as Databricks, Spark, Hadoop, and NoSQL databases • Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc. • Experience with confluent Kafka real-time data processing and API platforms • Strong understanding of data governance, lineage, and compliance • Experience optimizing for cost and performance at scale (e.g., caching, partitioning strategies) • Excellent communication and interpersonal skills
• Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or HSA) • Free concert tickets • Generous paid time off including paid holidays, sick time, and personal days • 401(k) program with company match • Stock reimbursement program • New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support • Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment • Volunteer time off • Crowdfunding match
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