Director, Data Engineering

Live Nation - Atlanta, GA

Full-time - Senior

Remote - Atlanta, GA

Amusement, Gambling, and Recreation Industries

About the position

The Director of Data Engineering at Live Nation Entertainment will lead a team focused on developing and optimizing data pipelines, driving technical innovation, and ensuring efficient execution of data initiatives. This role involves hands-on leadership, defining technical vision, and collaborating with cross-functional teams to support enterprise data needs and create value for the organization.

Responsibilities

• Lead a team of data engineers and collaborate closely with cross-functional teams to ensure the successful delivery of scalable and efficient data integration services.
• Optimize SQL queries, data pipelines, and overall system performance primarily on Databricks and other data warehouses such as Snowflake and SQL Server.
• Drive initiatives to lower overall costs associated with data engineering on the Databricks platform through optimization of resource utilization and efficient data processing.
• Manage cross-team dependencies and work with tech leads on solutions.
• Encourage a culture of team-driven decision-making, ownership, and accountability.
• Establish and promote best practices, standards, and documentation for data engineering to ensure consistency, reliability, and maintainability of data pipelines.
• Manage and mentor a team of data engineers and managers to foster a culture of collaboration, innovation, and continuous learning.
• Set performance expectations, conduct regular performance evaluations, and provide feedback to team members.
• Identify skills gaps and training needs within the team and develop appropriate development plans.
• Foster a diverse and inclusive work environment, ensuring equal opportunities for all team members.
• Oversee the design, development, and maintenance of scalable data engineering infrastructure, ensuring optimal performance and reliability.
• Drive the implementation of efficient data processing pipelines and workflows to support analytics, reporting, and machine learning initiatives.

Requirements

• Proven experience (10+ years) in data engineering, with a strong emphasis on developing complex data ingestion and performance optimization.
• Strong experience in Python, cloud databases, and ETL is required.
• Expert in developing scalable and efficient data pipelines.
• Strong proficiency in SQL optimization, performance tuning, and query execution on distributed systems.
• Extensive hands-on experience with the Databricks platform.
• Experience with pySpark, Snowflake, SQL Server, and Redshift is preferred.
• Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka.
• Knowledge of software engineering best practices, version control systems (e.g., Git), and CI/CD pipelines.
• Strong leadership and management skills, as well as experience leading and developing high-performing teams.
• Deep understanding of data engineering principles, strong managerial skills, and the ability to drive innovation and operational excellence.
• Excellent oral and written communication and presentation skills.

Nice-to-haves

• Experience working in Agile development environments and using tools such as Jira or Confluence.

Benefits

• Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs).
• Generous paid time off policy including paid holidays, sick time and paid days off for your birthday.
• Free concert tickets.
• 401(k) program with company match.
• Stock Program.
• New parent programs & support including caregiver leave and childcare cash, infertility support.
• Tuition reimbursement, student loan repayment, internal growth and development programs & trainings.
• Volunteer time off, crowdfunding network.