Staff Data Engineer - Lead Real-Time Data Platform (Remote)

MoonPay; New York (NY); Hybrid; USD 260,000 - 274,000; Full time

Benefits offered by this job

Equity package

Private healthcare

Hybrid/Remote work

Lunch credit

Annual training budget

Remote work allowance

AI tools access

Job summary

MoonPay seeks a Staff Data Engineer to lead the design and evolution of the data platform powering analytics, product insights, integrations, and machine learning within a regulated environment. You will move between setting technical direction and hands-on implementation to deliver secure, scalable infrastructure and shared patterns across teams.

You will mentor engineers, collaborate with Security, Compliance, and Product, and uphold high standards for reliability and cost efficiency as data

Qualifications

• Experience designing large-scale data platforms across distributed and streaming systems.
• Deep knowledge of real-time architectures using Kafka or Pub/Sub.
• Led complex initiatives spanning multiple teams or domains.
• Built platform capabilities, shared services, and reusable engineering patterns.
• Strong judgement on reliability, scalability, governance, and cost management.
• Ability to switch between high-level architectural decisions and hands-on implementation.
• Mentor engineers and raise technical capability through reviews and collaboration.
• Excellent communication with both technical and non-technical stakeholders.
• Experience in regulated environments with auditability requirements.

Responsibilities

• Set and evolve the technical direction of the data platform across streaming, batch processing, warehousing, orchestration, governance, and machine learning enablement.
• Lead the design and delivery of complex, cross-team initiatives from early architectural decisions through to implementation.
• Design and build core platform capabilities, from reliable real-time pipelines, shared tooling, reusable frameworks, and scalable data infrastructure for other teams.
• Establish and champion golden paths that enable teams to build securely, consistently, and efficiently.
• Improve platform reliability, scalability, performance, and cost efficiency as data volumes and use cases grow.
• Partner with Security, Compliance, Product, and Engineering teams to ensure our systems meet operational and regulatory requirements.
• Identify systemic risks, reduce unnecessary complexity, and guide pragmatic, incremental improvements to the platform.
• Strengthen engineering standards across data modelling, pipeline design, observability, testing, deployment automation, and infrastructure as code.
• Influence technical priorities and planning by working closely with engineering managers, product managers, and senior technical leaders.
• Mentor senior engineers and raise technical capability through design reviews, code reviews, documentation, and hands-on collaboration.

Skills

Systems thinking

Technical leadership

Mentoring

Regulatory awareness

Tools

GCP

Pub/Sub

Kafka

Apache Beam

Bigtable

Redis

Kubernetes

Airflow

BigQuery

Terraform

Python

SQL

Job description

MoonPay seeks a Staff Data Engineer to lead the design and evolution of the data platform powering analytics, product insights, integrations, and machine learning within a regulated environment. You will move between setting technical direction and hands-on implementation to deliver secure, scalable infrastructure and shared patterns across teams.

You will mentor engineers, collaborate with Security, Compliance, and Product, and uphold high standards for reliability and cost efficiency as data