Lead Platform Engineer, Operational Data Store

1 day ago

Cincinnati, OH, USAStaff+

Responsibilities

Define architecture for a scalable, resilient enterprise Operational Data Store supporting real-time payment data access.
Drive high availability, low latency, performance, reliability, and operational excellence at enterprise scale.
Build automation and self-service capabilities that reduce onboarding time and improve engineering productivity.
Establish technical standards, mentor engineers, and guide architectural decisions across the organization.
Evolve proof-of-concept enterprise data services into production-ready platform capabilities.

Proven experience designing, building, and operating large-scale distributed data platforms in production, including leadership of complex technical initiatives.
Deep expertise with distributed NoSQL databases and low-latency architectures, including performance, scalability, and reliability optimization.
Strong experience with Apache Kafka, event-driven systems, and high-volume data streaming solutions.
Demonstrated ability to lead technical direction, influence architecture decisions, mentor engineers, and promote engineering best practices.
Strong communication, accountability, and ability to translate complex technical challenges into scalable business solutions.
Preferred experience includes payments, fintech, regulated industries, internal platform products, database-as-a-service, multi-tenant self-service solutions, Apache Iceberg, lakehouse technologies, active-active multi-region architectures, or open-source data infrastructure.

Inclusive global teams and opportunities to learn and grow in an evolving global company.
Equal opportunity employer with reasonable accommodations available during hiring and employment.