Senior Data Platform Engineer, Real-Time Gaming

OP; United States; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

100% medical, dental & vision coverage

401(k) employer match

Job summary

OP is building the next generation of iGaming sweepstakes experiences, seeking a Staff Engineer, Data Platform to lead the data foundations. You will design systems powering real-time and batch pipelines, canonical datasets, transactional systems, analytics, and compliance workflows, while mentoring engineers and influencing cross-team architecture.

This high-impact, hands-on IC role focuses on production quality, reliability, security, and operational excellence as the team scales this year.

Qualifications

• 8-12+ years building large-scale data systems in production environments.
• Expertise in data platform architecture, pipelines, and distributed systems.
• Strong SQL plus proficiency in Python, Java, or Scala.
• Experience operating data platforms with SLAs, on-call rotation, and compliance requirements.

Responsibilities

• Own and evolve the data platform architecture supporting real-time and batch workloads.
• Design and build scalable, reliable data pipelines for gameplay, payments, and analytics.
• Define canonical datasets, data models, and golden paths for data consumption.
• Ensure data correctness, auditability, and traceability in regulated environments.
• Define SLAs, monitoring, and operational standards for data systems.
• Serve as an escalation point for complex data incidents.
• Mentor senior engineers and influence architecture across teams.
• Leverage AI tools to accelerate development, testing, analysis, and documentation.

Skills

SQL

Python

Java

Scala

Data platform architecture

Distributed systems

Tools

Apache Spark

Apache Flink

Apache Kafka

Trino

ClickHouse

Postgres

Job description

OP is building the next generation of iGaming sweepstakes experiences, seeking a Staff Engineer, Data Platform to lead the data foundations. You will design systems powering real-time and batch pipelines, canonical datasets, transactional systems, analytics, and compliance workflows, while mentoring engineers and influencing cross-team architecture.

This high-impact, hands-on IC role focuses on production quality, reliability, security, and operational excellence as the team scales this year.