Lead Platform Engineer, Operational Data Store
Cincinnati, Ohio
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDefine scalable, resilient architecture for enterprise payment data access
Ensure high availability and low-latency performance at enterprise scale
Build automation and self-service capabilities that speed up engineering teams
Set technical standards and mentor engineers across the organization
Turn proof-of-concept data services into production-ready capabilities
From the employer’s posting
Shape the architecture of a strategic enterprise platform
Drive performance and reliability outcomes
Accelerate innovation through automation and self-service
Influence engineering excellence across the organization
transforming proof-of-concept initiatives into production-ready capabilities
What you’ll bring
All qualificationsCore experience
- Experience designing and operating large-scale distributed data platforms in production
- Deep expertise with distributed NoSQL databases and low-latency architectures
- Strong experience with Apache Kafka and event-driven, high-volume streaming systems
- Track record leading technical direction and mentoring engineers
- Product-focused mindset with strong communication skills and accountability
Qualification wording
Proven experience designing, building, and operating large-scale distributed data platforms in production environments
Deep expertise with distributed NoSQL databases and low-latency architectures
Strong experience with Apache Kafka, event-driven systems, and high-volume data streaming solutions
Demonstrated success leading technical direction, influencing architecture decisions, and mentoring engineers
A product-focused mindset with strong communication skills, accountability
Tools in this posting
- Iceberg
- Kafka
- NoSQL
Source — Tool mentions in context
- Experience building internal platform products, database-as-a-service capabilities, or multi-tenant self-service solutions used by engineering teams across an enterprise. - Familiarity with Apache Iceberg, lakehouse technologies, active-active multi-region architectures, or contributions to the data infrastructure open-source community. About the team
- Deep expertise with distributed NoSQL databases and low-latency architectures, with a track record of optimizing performance, scalability, and reliability under demanding workloads. - Strong experience with Apache Kafka, event-driven systems, and high-volume data streaming solutions that deliver reliable, business-critical outcomes. - Demonstrated success leading technical direction, influencing architecture decisions, and mentoring engineers while driving adoption of engineering best practices.
- Proven experience designing, building, and operating large-scale distributed data platforms in production environments, including leadership responsibility for complex technical initiatives. - Deep expertise with distributed NoSQL databases and low-latency architectures, with a track record of optimizing performance, scalability, and reliability under demanding workloads. - Strong experience with Apache Kafka, event-driven systems, and high-volume data streaming solutions that deliver reliable, business-critical outcomes.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 3
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
Ready to take your career global?Make your mark at one of the biggest names in payments. We’re looking for a Staff Engineer to join our ever evolving Enterprise Data Platform Engineering Team and help shape the future of global commerce. As a technical leader on a ground-floor platform build, you’ll help create the next-generation Operational Data Store (ODS) that powers real-time payment experiences, fraud prevention, merchant servicing, and business-critical applications across Global Payments. This role offers a unique opportunity to influence architecture, technology selection, engineering standards, and platform strategy from the very beginning while solving complex challenges in scale, resiliency, and performance. Your work will directly support Global Payments’ mission to deliver secure, innovative, and seamless payment solutions, enabling the business to move faster, serve clients better, and build the future of global commerce on a modern, data-driven foundation.
What you'll own
- Shape the architecture of a strategic enterprise platform by defining scalable, resilient solutions that enable real-time access to critical payment data and support business growth across global markets.
- Drive performance and reliability outcomes by ensuring the platform consistently delivers high availability, low-latency experiences, and operational excellence at enterprise scale.
- Accelerate innovation through automation and self-service by creating capabilities that reduce onboarding time, increase engineering productivity, and empower teams to deliver value faster.
- Influence engineering excellence across the organization by establishing technical standards, mentoring engineers, and guiding architectural decisions that improve platform quality, scalability, and long-term sustainability.
- Lead the evolution of enterprise data services by transforming proof-of-concept initiatives into production-ready capabilities that strengthen business agility, client experiences, and competitive advantage.
What you'll bring
- Proven experience designing, building, and operating large-scale distributed data platforms in production environments, including leadership responsibility for complex technical initiatives.
- Deep expertise with distributed NoSQL databases and low-latency architectures, with a track record of optimizing performance, scalability, and reliability under demanding workloads.
- Strong experience with Apache Kafka, event-driven systems, and high-volume data streaming solutions that deliver reliable, business-critical outcomes.
- Demonstrated success leading technical direction, influencing architecture decisions, and mentoring engineers while driving adoption of engineering best practices.
- A product-focused mindset with strong communication skills, accountability, and the ability to translate complex technical challenges into scalable business solutions.
It's a bonus if you have
- Experience within payments, financial technology (fintech), or other highly regulated industries where security, compliance, and operational resilience are essential.
- Experience building internal platform products, database-as-a-service capabilities, or multi-tenant self-service solutions used by engineering teams across an enterprise.
- Familiarity with Apache Iceberg, lakehouse technologies, active-active multi-region architectures, or contributions to the data infrastructure open-source community.
About the team
Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.
Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
EEOC Statement
Global Payments is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.
Washington Candidates: Click here for information on the Fair Chance Act.
Source details
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- Pay
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- Location & working pattern
Cincinnati, Ohio
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- Work authorization
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