Summary
✨ AI‑Generated
A fast-growing technology organization is seeking a Staff Data Engineer to own and evolve the foundations of its data platform. You will design real-time and batch pipelines, canonical datasets, transactional systems, analytics capabilities, and compliance workflows. This hands-on senior individual contributor role offers broad influence across engineering, product, analytics, security, and compliance.
Highlights
High-impact staff-level individual contributor role with broad cross-functional influence, ownership of core data foundations, and opportunities to shape scalable real-time and batch data systems in a fast-moving environment.
Description
OP is partnering with a fast-growing iGaming startup to hire talented individuals building the next generation of sweepstakes-based gaming experiences.
Operating at the intersection of gaming, technology, and user engagement, the platform enables seamless cross-game interactions powered by innovative mechanics.
With plans to rapidly scale this year, the team is seeking builders who thrive in fast-paced environments where ideas move from concept to live product in weeks.
Role Overview
As a Staff Engineer, Data Platform, you will serve as a key contributor for the data foundations.
You ll design and evolve the systems that power real-time and batch data pipelines, canonical datasets, transactional systems, analytics, and compliance workflows.
This is a hands-on senior individual contributor role with broad influence across engineering, product, analytics, security, and compliance.
Key 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.
Core Data Technology Stack
The ideal candidate has deep, hands-on experience with modern data platforms and large-scale data systems, including:Distributed processing: Apache Spark, Apache Flink.Streaming & messaging: Apache Kafka.Query & analytics engines: Trino.Databases: ClickHouse, Postgres.Data languages: SQL.Cloud-native data platforms and distributed systems.Operational tooling for monitoring, alerting, and data quality.Applied use of AI/LLMs and agents for data analysis, incident response, and developer productivity.
Required 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.
Nice To Have
FinTech, gaming, payments, or regulated environment experience.Real-time streaming, CDC, or event-driven architectures.Experience in stewarding canonical datasets and data governance.Passion for gaming or entertainment platforms.
Role Clarifications
This is an individual contributor role.
It is a high-ownership, low-process, high-trust environment with strong emphasis on production quality, reliability, security, and operational excellence.
Benefits
100% medical, dental & vision coverage (partial for dependents).401(k) employer match.
