Data Distribution Pipeline Architect
hace 3 días
Company Overview
">We are Genius Sports Group, a leading sports technology company revolutionizing the way sports data is collected, distributed, and consumed. Our mission is to create a more sustainable sports data ecosystem that benefits all parties involved.
Salary
">We offer a competitive salary of $150,000 per year, plus additional benefits such as health insurance, skills training, and much more, depending on the location.
Job Description
">The Role: We are seeking an experienced Data Distribution Pipeline Architect to lead our team in modernizing our data distribution pipeline in support of our sports data, betting, broadcast, and fan engagement offerings.
">About the Team: You will be working closely with our Sports Data Engineering and Product teams to understand and support requirements for evolving data pipeline for distributing internally and to external customers our real-time data streams.
">Your Key Responsibilities:
">- ">
- Design, build, and maintain a robust, real-time big data pipeline for distributing terabytes of rich sports, betting, and media data streams via modern Pull and Push APIs, utilizing GraphQL and streaming technologies.">
- Partner with stakeholders to understand business needs and to evolve our data distribution architecture to meet the changing business needs.">
- Build reliable end-to-end monitoring, alerting, and reporting capabilities to assist in maintaining highly functional, low latency, performant data distribution.">
Requirements:
">To be successful in this role, you will need:
">- ">
- 6+ years of software engineering experience with heavy emphasis on data processing and distribution.">
- 3+ years of experience leading engineering teams and building great engineering cultures.">
- Strong understanding of JVM based programming language (Java, Kotlin) and the ability to effectively build production-ready code for higher-complexity tasks.">
- Experience in designing, developing and managing GraphQL APIs with GraphQL Federation architecture and API layers for data consumptions and distribution.">
- Expertise in real-time data streaming systems, ideally from a high transaction volume industry (e.g., financial/banking, online services, retail, etc.) using low-latency stream-processing technologies such as Kafka, Flink or Pulsar.">
- Excellent knowledge of performance tuning and database design/architecture.">
Benefits
">We offer a range of benefits, including:
">- ">
- Health insurance">
- Skills training">
- Annual leave allowance">
- Many social events throughout the year, such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.">
- A competitive salary of $150,000 per year.">
How we work
">We have adapted a forward-thinking 'Ways of Working' framework, which sets out opportunities for Geniuses to work flexibly and on working holidays. It affects different teams and locations differently, so please ask for further information in how it would work with this role.
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