AXS is Looking for a Senior Data Architect and Senior Data Engineer!

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AXS connects fans with the artists and teams they love. Every year it sells millions of tickets for 300+ partners in the U.S. and Europe, including iconic venues like the El Rey Theatre, Staples Center, and Red Rocks Amphitheatre. With its industry-leading technology, AXS is constantly making it easier for fans to discover events, find the perfect seats, and have unforgettable live experiences.

The Senior Data Architect will own and strengthen the architecture of AXS data products and systems. As part of the global architecture team, the ideal candidate enjoys and thrives in working with a variety of tools, languages, systems, and architectures while ensuring our data architecture and strategy adhere to scalable best practices.
Application Deadline: April 26, 2019
Apply Here:


  • Minimum 8 years of defining, architecting and delivering data solutions and platforms
  • Advanced knowledge of data architecture, data warehousing, data pipelines, data streaming, and data processing
  • Experience with development in Python, R and Java
  • Experience with streaming (Kinesis) and event driven architecture
  • Experience with Business Intelligence platforms (Looker, SQL Server Reporting Services)
  • Experience with Marketing and Analytics platforms (Adobe) a plus
  • Experience with serverless technologies (AWS lambda) a plus
  • Experience with NoSQL platforms (DynamoDB, Cassandra) and Search platforms (Elasticsearch)
  • BS in Computer Science or related technical field, or equivalent work experience

The Senior Data Engineer will help collect, transform, process, analyze and store big sets of data using modern state of the art technologies. As part of the Data Platform team, this position will work with our product, leadership, and marketing teams across 3 continents to build high quality, scalable batch and real-time data pipelines integrated with AXS products.
Application Deadline: April 26, 2019
Apply Here:


  • Proficient programming and scripting skills in Python and SQL
  • Excellent knowledge of Git and Unix based systems
  • Experience with AWS Redshift and AWS ecosystem
  • Excellent understanding of distributed computing principles
  • Experience with Spark, Map/Reduce, Hadoop

Published on April 3rd, 2019

Last updated on April 3rd, 2019