Solution Architect

Job Summary

WHO ARE WE?

Live Nation Entertainment is the world's leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 620 million tickets sold annually and approximately 10,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 50,000 events annually for nearly 7,000 artists in 40+ countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect more than 1,200 sponsors with the 145 million fans that attend Live Nation Entertainment events each year. For additional information, visit .

WHO ARE YOU?

Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on!

THE TEAM

The Core Data Services (CDS) team is the backbone of our enterprise data and analytics initiatives. We are building a scalable, modern data platform that powers business intelligence, analytics, and AI across the organization. Our mission is to make trusted data accessible and actionable-enabling data-driven decision-making across all business functions.

You will be part of the Delivery Engineering and Architecture group within CDS, working alongside platform engineers, data engineers, and solution architects to design and deliver high-impact data solutions for the enterprise.

THE ROLE

As a Senior Solution Architect within the Core Data Services (CDS) team, you will be an individual contributor responsible for designing, implementing, and optimizing end-to-end data warehouse and analytics solutions. You will work closely with data engineers, platform teams, and business stakeholders to translate requirements into robust technical designs that support real-time, high-volume, and low-latency use cases.

This role sits at the intersection of architecture, engineering, and execution -you will define standards, build solutions, and guide teams on best practices in data platform design, ETL development, performance tuning, and cost optimization.

THE IDEAL CANDIDATE

You are a hands-on, technically strong Solution Architect who thrives on designing and delivering large-scale, high-performance data solutions. You have deep experience across the modern data stack - from ETL development and data modeling to cloud-scale architecture and API-based integrations . You are not just a strategist; you build, optimize, and get things done.

You communicate clearly, collaborate effectively across teams, and take pride in delivering reliable, scalable, and cost-efficient data platforms. If you enjoy solving complex data challenges and driving architecture decisions that shape enterprise-scale systems, this role is for you.

WHAT THIS ROLE WILL DO

• Design & Architecture: Define and implement modern data warehouse architecture and frameworks, covering data modeling, ETL pipelines, orchestration, storage, and access patterns.
• Build & Deliver: Develop scalable data solutions leveraging Databricks, AWS, and other modern tools to handle large-scale, high-frequency data workloads.
• Integration & APIs: Design and build APIs and data integration layers to enable interoperability across systems and real-time data access.
• Optimization & Reliability: Continuously improve performance, scalability, and cost efficiency across ETL processes, compute environments, and data delivery systems.
• Collaboration: Work with cross-functional teams-including Data Engineering, Platform Engineering, and Analytics-to align technical solutions with business outcomes.
• Data Governance & Standards: Champion best practices for data quality, lineage, metadata management, and compliance.
• Documentation & Knowledge Sharing: Create architecture diagrams, technical documentation, and design templates to support reuse and consistency across the organization.

WHAT THIS PERSON WILL BRING

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience in data engineering or architecture roles, with strong expertise in data warehousing and distributed data systems.
• Proven experience building large-scale, high-throughput data pipelines using Databricks , Spark , Delta Lake , S3 , and related technologies.
• Deep understanding of ETL/ELT design , data modeling , and data integration patterns (batch and streaming).
• Strong programming skills in Python , SQL , and familiarity with API development and orchestration tools.
• Experience working with cloud platforms (AWS preferred) and tools such as Snowflake, Redshift, or BigQuery.
• Strong analytical and problem-solving skills with a bias for action and ownership.
• Excellent communication skills with the ability to simplify complex techni