Engineering Manager, Data Engineering

THE CHALLENGE

Eventbrite has the world’s largest data repository of live events, powering millions of events and hundreds of millions of ticket transactions each year in 170+ countries. Our Data Engineering team helps wrangle data to drive business growth for our event creators, attendees, and the Eventbrite leadership. As we position Eventbrite for success over the next few years, we are revamping our data infrastructure to better serve customer, business and product needs. We are looking for an experienced technical manager who can inspire and lead a team of talented data engineers in designing and building our next-generation data infrastructure.

THE TEAM 

Our data platform team manages critical infrastructure, collaborating with cross functional stakeholders to make data the lifeblood of our business and customers. Our product spans the web, mobile, physical point of sale, and scanning systems, and generates structured and unstructured data that forms a treasure trove of insights. We conquer significant problems by putting our heads together, learning, supporting and mentoring each other to reach greater heights as a team.

YOU WILL

• Lead, coach, and grow Eventbrite’s talented Data Engineering team, rolling up your sleeves to be a force multiplier.
• Partner across the company to accelerate and promote data-driven decisions
• Contribute to design and implementation of next-gen data infrastructure and the broader tech stack
• Partner with security and compliance teams to protect our systems and data
• Enable timely and actionable insights for internal and external customers
• Define and meet data SLAs for key data consumers that span technical and non-technical functions.
• Evaluate and manage vendors, mediating tradeoffs across a diverse set of data tools and technologies for data ingestion, storage, compute, and orchestration across diverse structured and unstructured datasets. 

THE SKILLSET

• Outstanding interpersonal and communication skills
• 10+ years of experience in Software/Data engineering
• 5+ years of experience managing, hiring, retaining and growing technical talent
• Track record aligning technical and non-technical stakeholders such as product managers, data scientists, engineers, financial analysts, IT and legal.
• Built and/or managed large scale complex distributed systems, ideally handling batch, streaming, and transaction processing workloads.
• Experience with data warehouse technical architectures, EDW concepts, data modeling, query optimization and workload management is preferred.
• Experience with Amazon cloud technologies including Aurora, RedShift, S3, Elastic MapReduce, and Kinesis, data processing systems such as Spark/SQL/Hive etc., and Python/Django-based microservices is a plus.