Senior Software Engineer, Data Platform Job at Genius Sports (Los Angeles)

Senior Software Engineer, Data Platform

Genius Sports

Location:
United States , Los Angeles

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

180000.00 - 220000.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

What we offer:

Competitive salary
Range of benefits
Support for employee wellbeing
Help you grow your skills, experience and career

Additional Information:

Job Posted:
May 03, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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