[Hiring] Staff Data Platform Engineer @PrizePicks

Role Description

As a Staff Data Platform Engineer, you will contribute to architecting and building the modern Data platform at PrizePicks to scale and productionize our core data engineering, data analytics, and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What You’ll Do

• Build Scalable Data Platform:
  • Design and build the Data platform for Batch and Streaming use cases.
  • Build and maintain a platform with cutting-edge technologies.
  • Enable data users by building data catalog and data lineage capabilities.
  • Architect an end-to-end data platform, making improvements for automation & scaling.
  • Enforce robust data security architectures and controls.
• Real-Time Data Platform at Scale:
  • 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.
• Data Platform Ops:
  • Champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment.
  • Enable complete observability for batch and streaming data platform.
  • Ensure the availability of 99.99%.
• Cross-Functional Collaboration:
  • Partner with Product, Backend Engineering, Data Engineering, and Data Science teams to operationalize complex Data engineering and Data science capabilities.
  • Balance platform stability, architectural standards, and rapid iteration.

Qualifications

• 8+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments.
• Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing.
• Proficient with Containerization, Docker, Kubernetes, and cluster-level management.
• Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, Databases.
• Experience with building REST APIs, package management, and building libraries.
• Deep experience building a platform for managing the full Data lifecycle including setting up a data exploration environment.
• Expert in coding with Python and Go.
• Deep experience with Cloud services, preferably with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.
• Excellent communication skills, stakeholder management, and outstanding problem-solving skills.
• Should have been a key contributor to projects through the entire development lifecycle from concept to release.

Requirements

• Experience implementing data platform infrastructure while enforcing best practices for deployment of a large scale data platform.
• 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.
• Built internal tools for data pipeline authoring, orchestration, and AI-assisted analytics to boost developer productivity.
• Established policies and tooling for data quality, compliance, lineage, and secure access control.
• Enabled self-service for Data teams for pipeline development and deployment.
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading or similar domain expertise.

Benefits

• Company-subsidized medical, dental, & vision plans.
• 401(k) plan with company match.
• Annual bonus.
• Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!).
• 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.