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About the Role

The Vice President of Data Engineering will lead AXS' global data engineering organization, owning the strategy, architecture, and operation of the data platforms, pipelines, and infrastructure that power personalization, analytics, fraud prevention, pricing, and reporting across the business. This leader will define the vision, strategy, and roadmap for AXS' data platform, ensuring it scales reliably with transaction volume while remaining secure, compliant, and cost-effective. They will foster innovation and technical rigor, ensuring AXS' data infrastructure continues to be a competitive advantage.

Responsibilities

Partner with the CTO and senior engineering leadership to define and advance AXS' data engineering strategy and architecture.
Own the roadmap for data platforms, pipelines, and infrastructure, balancing long-term vision with near-term priorities across analytics, personalization, fraud, and reporting needs.
Oversee the design, build, and operation of scalable data pipelines (batch and real-time) that ingest, transform, and serve data reliably across the business.
Lead the evolution of AXS' data lake/warehouse architecture, ensuring performance, cost efficiency, and reliability at high transaction volume.
Establish and enforce data governance, quality, lineage, and security standards, ensuring compliance with relevant data privacy and payment regulations.
Build and empower a high-performing global data engineering team, fostering a culture of innovation, collaboration, and continuous learning.
Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other partners to ensure the data platform meets evolving analytical and operational needs.
Drive operational effectiveness through best practices, disciplined execution, and process improvements that increase pipeline reliability and reduce data downtime.
Translate business goals into actionable data engineering initiatives, ensuring technical direction supports personalization, growth, and decision-making across the company.
Provide clear communication and progress updates to the CTO and senior leadership.
Manage operating budgets and resources effectively, ensuring financial accountability and sustainable growth.

Requirements

13+ years in high-growth technology, including 7+ years leading data engineering or data platform teams at scale.
Experience building and operating high-volume data platforms supporting consumer-facing, e-commerce, or transactional systems.
Demonstrated success defining and delivering data platform roadmaps, managing multiple initiatives end-to-end, and scaling data engineering organizations.
Strong background with modern data stacks — data warehousing (Snowflake, Redshift, or BigQuery), orchestration (Airflow, dbt), streaming/event-driven systems (Kafka, Kinesis), and scalable cloud platforms (preferably AWS).
Expertise in data pipeline architecture, data quality frameworks, observability, CI/CD, and SRE practices to ensure high reliability and data trust.
Skilled with enterprise and NoSQL databases (Oracle, DynamoDB, Snowflake, etc.) and designing systems for personalization, analytics, and real-time decisioning.
Experience implementing data governance, lineage, and security practices, including compliance with data privacy and payment card standards.
Deep knowledge of Scrum/Kanban with a proven ability to optimize processes, define KPIs, and improve delivery at scale.
Success leading distributed, diverse teams worldwide, building collaborative, innovative, and high-performance cultures.
Strong ability to partner with Data Science, Product, Engineering, and Business Operations to align data infrastructure with company priorities.
Experience managing third-party vendors and outsourcing partnerships, ensuring quality, accountability, and alignment with strategic goals.

Skills

Data Warehousing (Snowflake, Redshift, or BigQuery)
Orchestration (Airflow, dbt)
Streaming/Event-Driven Systems (Kafka, Kinesis)
Cloud Platforms (AWS)
Data Pipeline Architecture
Data Quality Frameworks
Observability
CI/CD
SRE Practices
Enterprise Databases
NoSQL Databases (Oracle, DynamoDB, Snowflake)
Data Governance
Data Lineage
Data Security
Scrum/Kanban
Vendor Management
Outsourcing Management

Location

Downtown Los Angeles, California

Work Type

Hybrid

Experience Level

13+ years in high-growth technology
7+ years leading data engineering or data platform teams

Salary/Compensations

$366,000–$400,000

Benefits

Comprehensive package including: Medical, dental, and vision insurance
Paid holidays, vacation, and sick time
Company-paid basic life insurance + voluntary life options
Parental leave
401(k) plan
Flexible spending and health savings accounts
Wellness offerings
Eligible for executive bonus plan

About the Company

AXS is a global leader in live event ticketing and e-commerce, processing more than $4B in annual transactions.
Each year, we connect millions of fans with the artists, teams, and experiences they love, powering ticket sales for concerts, festivals, sporting events, and theater at some of the world's most iconic venues.
At the forefront of transforming live entertainment through technology, AXS has continuously advanced the industry since our founding in 2011, making it easier than ever to discover events, secure the perfect seats, and enjoy unforgettable live experiences.
AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand.
Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide.
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment.
Annually, AEG hosts more than 160 million guests, promotes more than 10,000 shows and presents more than 22,000 events around the world.
AEG is committed to innovation, artistry, and community, and leverages the power of its 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.

Equal Opportunity

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.
AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.
AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.
We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.