Requirements

Significant experience designing and evolving large-scale data platforms and distributed stream processing systems
Deep knowledge of real-time and event-driven architectures using technologies such as Kafka or Pub/Sub
Proven track record of leading complex technical initiatives across multiple teams or domains
Experience building platform capabilities, shared services, and engineering patterns for adoption by other teams
Strong judgment on reliability, scalability, performance, governance, security, and cost management
Ability to switch between high-level architecture and hands-on implementation
Experience influencing engineers and stakeholders on technical standards and long-term priorities
Team-oriented approach with passion for mentoring senior engineers and raising technical standards
Strong communication skills to explain complex technical decisions to technical and non-technical audiences
Experience working in regulated environments or designing for compliance and auditability

What you'll be doing

Set and evolve the technical direction of MoonPay’s data platform, encompassing streaming, batch processing, warehousing, orchestration, governance, and machine learning enablement
Lead design and delivery of cross-team architectural initiatives from concept through implementation
Build core platform features such as real-time pipelines, shared tooling, reusable frameworks, and scalable infrastructure
Establish best practices ("golden paths") for secure, consistent, and efficient development
Enhance platform reliability, scalability, performance, and cost-efficiency as use cases and data volumes increase
Collaborate with Security, Compliance, Product, and Engineering teams to meet operational and regulatory standards
Identify and mitigate systemic risks while simplifying platform complexity
Raise engineering standards around data modeling, pipeline design, observability, testing, automation, and infrastructure as code
Influence technical priorities by partnering with managers, product teams, and senior leaders
Mentor senior engineers through design and code reviews, documentation, and collaborative work

Experience with specific technologies such as GCP, Pub/Sub, Kafka, Apache Beam, Bigtable, Redis, Kubernetes, Airflow, BigQuery, Terraform, Python, and SQL
Experience with real-time and batch processing systems
Background in regulated environments

Competitive salary banding of $260,000 - $274,000
Work in a high-standards, high-velocity, and high-accountability company shaping the future of value movement
Join a recognized top employer: Forbes' America's Best Startup Employers 2026, 2nd in Crypto Services on Fortune's Crypto 100, The Sunday Times Best Places to Work two years running
Opportunity to use AI as a default operating mode in your daily work
Collaborate with a team that values impact, ownership, and solving hard problems together