Job Description
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Company Overview
A global live event ticketing and e-commerce technology company that processes billions of dollars in annual transactions and connects millions of fans with concerts, festivals, sporting events, theater, and other live experiences. The organization uses technology and data to improve event discovery, ticketing, personalization, and the overall customer experience.
Responsibilities
- Partner with the CTO and senior engineering leadership to define and advance the organization’s data engineering strategy and architecture.
- Own the roadmap for data platforms, pipelines, and infrastructure, balancing long-term strategy with near-term priorities across analytics, personalization, fraud prevention, and reporting.
- Oversee the design, development, and operation of scalable batch and real-time data pipelines that reliably ingest, transform, and serve data across the organization.
- Lead the evolution of data lake and data warehouse architecture, ensuring performance, cost efficiency, scalability, and reliability at high transaction volumes.
- Establish and enforce data governance, quality, lineage, and security standards while supporting compliance with applicable data privacy and payment regulations.
- Build, develop, and empower a high-performing global data engineering organization.
- Foster a culture of innovation, collaboration, technical excellence, and continuous learning.
- Collaborate with Data Science, Product, Marketing, Finance, Ticketing Strategy, Operations, and other business teams to ensure the data platform supports evolving analytical and operational requirements.
- Drive operational excellence through engineering best practices, disciplined execution, and process improvements that improve pipeline reliability and reduce data downtime.
- Translate business objectives into actionable data engineering initiatives that support personalization, growth, analytics, and decision-making.
- Provide clear progress updates and strategic communication to the CTO and senior leadership.
- Manage data engineering budgets and resources effectively while supporting sustainable organizational growth.
- Oversee third-party vendors and outsourcing partnerships to ensure quality, accountability, and alignment with strategic objectives.
Qualifications
- 13+ years of experience in high-growth technology organizations, including 7+ years leading data engineering or data platform teams at scale.
- Proven experience building and operating high-volume data platforms supporting consumer-facing, e-commerce, or transactional systems.
- Demonstrated success defining and delivering data platform roadmaps and managing multiple initiatives from strategy through execution.
- Experience scaling data engineering organizations and developing high-performing technical teams.
- Strong technical background with modern data platforms and technologies, including data warehouses such as Snowflake, Redshift, or BigQuery.
- Experience with orchestration and transformation technologies such as Airflow and dbt.
- Experience with streaming and event-driven systems such as Kafka and Kinesis.
- Strong experience with scalable cloud platforms, preferably AWS.
- Expertise in data pipeline architecture, data quality frameworks, observability, CI/CD, and SRE practices.
- Experience with enterprise and NoSQL databases and storage technologies such as Oracle, DynamoDB, and Snowflake.
- Ability to design data systems supporting personalization, analytics, and real-time decision-making.
- Experience implementing data governance, lineage, security, and compliance practices, including data privacy and payment card standards.
- Strong understanding of Agile methodologies, including Scrum and Kanban.
- Proven ability to optimize engineering processes, establish KPIs, and improve delivery at scale.
- Experience leading distributed and diverse teams across multiple geographic locations.
- Strong cross-functional collaboration skills with Data Science, Product, Engineering, and Business Operations teams.
- Experience managing third-party technology vendors and outsourcing partnerships.
- Strong strategic thinking, communication, organizational leadership, and execution skills.
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