Senior Software Engineer, Data Platform
We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction. This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations-who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.
- Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
- Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
- Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
- Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
- Stay up-to-date with emerging technologies and industry trends in data systems and platform development
- A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
- A product-minded approach-you understand how our software impacts user experience and business outcomes
- Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
- Excellent collaboration and communication skills, with the ability to influence across teams
- Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
- Hands-on experience designing and operating modern data lakehouse systems (Iceberg, BigQuery, Clickhouse, etc.)
- Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
- Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
- Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms
- Experience with Rust
- Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
- History of open source contribution, particularly in the data systems ecosystem
- The base salary range for this role is $180,000 - $220,000.
- all full-time roles will also be eligible to take part in Genius benefits
- some roles may be eligible to take part in a variable compensation plan.
- As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
Genius Sports is a sports data and technology company that supplies official data, streaming, integrity and advertising services to sports leagues, sportsbooks and media companies. Founded in 2001 and headquartered in London, with a major office in New York and others worldwide, it is the official data partner of organisations including the NFL, English Premier League and FIBA. The company provides the technology that connects sports, betting and media businesses. Genius Sports is listed on the New York Stock Exchange.
