Staff Data Platform Engineer
As a Staff Data Platform Engineer, the successful candidate will contribute to architecting and building the modern data platform at PrizePicks to scale and productionise core data engineering, data analytics, and machine learning capabilities. The role involves work that directly impacts key metrics such as Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency machine learning models across the sports betting and daily fantasy ecosystems.
The engineer will be responsible for designing and building the data platform for both batch and streaming use cases, while enabling data users through the development of data catalog and lineage capabilities. This position requires a focus on automation, scaling, and enforcing robust data security architectures and controls to ensure platform stability and high availability.
- Design and build the Data platform for Batch and Streaming use cases.
- Build and maintain a platform with cutting edge technologies and enable data users by building data catalog and data lineage capabilities.
- Architect an end to end data platform, making improvements for automation & scaling, and enforcing robust data security architectures and controls.
- Build platform for deploying low-latency services to pipe data for streaming or near real time use cases.
- Power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
- Champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment.
- Enable complete observability for batch and streaming data platform and ensure the availability of 99.99%.
- Partner with Product, Backend Engineering, Data Engineering and Data Science teams to operationalise complex Data engineering and Data science capabilities.
- 8+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments (required).
- Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing (required).
- Proficient with Containerization, Docker, Kubernetes and cluster level management (required).
- Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, Databases (required).
- Experience with building REST APIs, package management and have built libraries (required).
- Deep experience building a platform for managing the full Data lifecycle including setting up a data exploration environment (required).
- Expert in coding with Python and Go (required).
- Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents (preferred).
- Excellent communication skills, stakeholder management and outstanding problem-solving skills (required).
- Should have been a key contributor to projects through the entire development lifecycle from concept to release (required).
- Experience implementing data platform infrastructure while enforcing best practices for deployment of a large scale data platform (nice-to-have).
- Designed and built scalable, fault-tolerant data storage, distributed processing systems, and data lakes at massive scale, worked with technologies - Apache Spark, Flink, Trino, Presto, or Kafka (nice-to-have).
- Built internal tools for data pipeline authoring, orchestration, and AI-assisted analytics to boost developer productivity (nice-to-have).
- Established policies and tooling for data quality, compliance, lineage, and secure access control (nice-to-have).
- Enabled self-service for Data teams for pipeline development and deployment (nice-to-have).
- Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading or similar domain expertise (nice-to-have).
- Company-subsidised medical, dental, & vision plans.
- 401(k) plan with company match.
- Annual bonus.
- Flexible PTO to encourage a healthy work/life balance.
- Generous paid leave programs, including 16-week paid parental leave and disability benefits.
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked.
- Company-wide in-person events and team outings.
- Lifestyle enhancement program.
- Company equipment provided (Windows & Mac options).
- Annual performance reviews with opportunities for growth and career development.
PrizePicks is a daily fantasy sports operator headquartered in Atlanta, Georgia. Its app lets players predict whether athletes will beat or fall short of projected statistics, and it has added prediction-market contracts regulated by the US Commodity Futures Trading Commission. In January 2026 the lottery and gaming group Allwyn completed the purchase of a 62.3% majority stake, with PrizePicks continuing as a standalone brand.