Data Distribution Engineering Manager
hace 7 días
Genius Sports Group is a leading provider of sports data and technology solutions. We are at the forefront of the global sports data ecosystem, connecting sports, brands, and fans through official live data.
Job SummaryWe are seeking an experienced Engineering Manager to lead our Data Distribution Engineering Team. The successful candidate will be responsible for modernizing our data distribution pipeline, ensuring high-quality data delivery to our clients and partners.
Key Responsibilities- Data Distribution Pipeline Development
- Partner with 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 that are powered by various data sources such as human and computer-vision driven tools for collecting live sports event data (e.g., passes, rushes, touchdowns, turnovers, etc.) at the team and individual player level.
- Identify and analyze existing data distribution methods for delivering multiple data streams from various domains (e.g., fixtures data, odds data, player and match data). Collaborate closely with a variety of stakeholders (Sports Betting, Fan Engagement, Advertising, leagues, etc.) to understand business needs and to evolve our data distribution architecture to meet the changing business needs.
- 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.
- Build reliable end-to-end monitoring, alerting, and reporting capabilities to assist in maintaining highly functional, low latency, performant data distribution.
- Lead the creation of the API technical strategy, reviewing with domain experts and business stakeholders to ensure we can support the evolving needs of our data consumers.
- Build, coach and lead a team of high-performing, passionate, platform and full-stack engineers, able to execute quickly without sacrificing quality.
- Ensure timely, high quality delivery of agreed business value, balancing pragmatism with technical sustainability.
- Bring an ownership mindset to the table. Enable a team-first culture, where teams feel secure to iterate, fail and learn rapidly with accountability.
- Ensure the team has the right resources, skills and time, managing stakeholders effectively to ensure that we can build a high-quality data product to support the organization.
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.
- Experience with data modelling and optimization of data structures based on consumption patterns.
- Experience with Big Data and deep familiarity with high volume web services/APIs.
- 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.
- Experience with SQL and NoSQL databases. Excellent knowledge of performance tuning.
- Experience with conceptualization, design and assistance in the implementation of new and existing systems, data processing, distribution and production architectures.
The following skills are highly desirable:
- Familiarity of container orchestration systems such as Kubernetes or ECS.
- Knowledge of Cloud Architecture (AWS, Azure or GCP).
As a member of our team, you will have the opportunity to work with a talented group of individuals who are passionate about sports data and technology. We offer a competitive salary and annual leave allowance, as well as a range of benefits including health insurance, skills training, and more.
We are committed to creating a positive and inclusive work environment that supports the well-being and growth of our employees. We believe in empowering our team members to take ownership of their work and to make a meaningful contribution to the organization.
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