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Live Nation Entertainment is seeking a Data Architect to lead the development of their Enterprise Data platform, focusing on data modeling, governance, and integration in a high-volume environment. The ideal candidate will have extensive experience in big data strategies, cloud platforms, and AI-enabled data engineering, and will play a pivotal role in shaping the company's data architecture and practices.
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Job Summary
This role drives the transformation of data modeling, governance, and delivery within a global, high-volume entertainment environment.
The successful candidate will design an AI-ready enterprise data platform using Databricks Lakehouse architecture that supports scalable and cost-efficient solutions.
You will collaborate with cross-functional teams to build models at high velocity using AI agents and establish standards for metadata, lineage, and data quality.
Matching Summary
Match Score: 75
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Live Nation Entertainment is seeking a Data Architect to lead the development of their Enterprise Data platform, focusing on data modeling, governance, and integration in a high-volume environment. The ideal candidate will have extensive experience in big data strategies, cloud platforms, and AI-enabled data engineering, and will play a pivotal role in shaping the company's data architecture and practices.
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Salary
Base: $136,000.00 - $170,000.00 USD; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
10+ years tech industry experience
Databricks Lakehouse architecture design
AI orchestration and automated modeling
Data modeling with Erwin or similar tools
Big Data technologies like Spark and Hadoop
Nice-to-have
Entrepreneurial spirit and innovation
Ability to thrive in ambiguity
Mentorship of engineering staff
Experience with real-time streaming data
Strong communication with non-technical teams
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
5+ years architecting big data strategies
5+ years expertise with cloud-based data platforms
1+ year with AI orchestration or automated modeling