The Battle.net Data Team builds and maintains a massive Big Data Platform for all of Blizzard Entertainment's games, tools, and operations. As a member of the Data Team, you'll contribute to one of the world's largest and most robust data pipelines to collect global information that powers analytics, operations, discovery, and machine learning throughout Blizzard's products and services. From real-time operational awareness to machine learning systems for epic gameplay experiences- Blizzard is aiming to be a world leader in Big Data.This technical lead role will manage one of our platform data teams. The technical lead will have direct responsibility for architecting, implementing and managing scalable data pipelines for our current and future games and platform systems.
This role will also have people management responsibilities working closely with reports and product managers to build great products. This is an exciting time to join our data platform team. We are building a platform that is more scalable, performant, and reliable as to power our diverse business needs. All this will be enabled through transitioning our on-prem system to Google cloud technologies.If you can imagine yourself in the center of the data revolution at the most epic company ever, and you want to help shape the future of Big Data platforms- this may be the job for you!Covid-19 Hiring Update: We’ve transitioned to a work-from-home model and we’re continuing to interview and hire during this time. This role is expected to begin as a remote position. We understand each person’s circumstances may be unique and will work with you to explore possible interim options.
Requirements:
- 5+ years of experience building and supporting large scale distributed applications
- 8+ years of experience in designing software systems from the ground up
- 3+ years of people management experience
- Expertise in Java, Scala, or another JVM based language
- Experience with private or public cloud infrastructure (OpenStack / AWS / GCP / Azure)
- Experience with data at scale and the problems that come with it
- Proven and demonstrable ability to rapidly learn and master complex systems and their codebase
- Strong written and verbal communication skills
Pluses:
- Experience with Elasticsearch
- Experience with Kafka
- Experience with Akka
- Experience with distributed NoSQL stores (HBase, Cassandra)
- Experience with large scale data processing frameworks (Spark, Hive, Presto)
- Experience with stream processing frameworks (Spark Streaming, Flink)
