About the Role

We are seeking a Senior Data Platform Engineer to join our team at MoonPay. This remote opportunity allows you to shape the future of our data platform while working with a passionate team dedicated to making digital money accessible to everyone.

What You'll Do

  • Lead the design and delivery of complex data engineering projects, partnering with stakeholders to take initiatives from concept to successful implementation.
  • Design and develop core components of our data platform, including building and scaling real-time data pipelines for event delivery and enabling Machine Learning.
  • Embed best practices and governance into the Data Platform, enabling other teams to build confidently and consistently on robust foundations.
  • Develop orchestration and automation capabilities to streamline data workflows and improve platform efficiency.
  • Own the estimation, planning, and execution of complex projects, including new feature development and major service upgrades.
  • Write well-tested, high-quality, and performant code for real-time data processing, automation, and infrastructure management.
  • Mentor engineers on the team, elevating their skills and promoting best practices in data engineering through guidance and code reviews.

Requirements

  • Proven experience building and delivering low-latency, real-time data applications.
  • Hands-on expertise with real-time/event-driven systems (e.g., Kafka, Pub/Sub) and in-stream processing frameworks (e.g., Apache Beam, Spark, Flink).
  • Proficiency with Infrastructure as Code (IaC) (e.g., Terraform) to manage complex, production-grade data infrastructure.
  • Experience building platform capabilities that other engineers and teams can leverage and build upon.
  • A team-first mindset, with a passion for mentoring others and sharing knowledge to raise the bar across the organization.
  • The ability to collaborate effectively with cross-functional partners, including Product Managers, Backend Engineers, and Machine Learning Engineers.

Nice to Have

  • Experience with GCP, BigQuery, and Kubernetes.
  • Familiarity with data governance and compliance standards.
  • Previous experience in the crypto or fintech industry.

What We Offer

  • Competitive salary package with performance-based bonuses.
  • Equity package to ensure you have ownership at MoonPay.
  • Unlimited holidays to give you the autonomy to choose when to work.
  • Hybrid working schedule, allowing you to work fully remotely or from your nearest Moonbase.
  • Private healthcare benefits for you and your loved ones.
  • Annual training budget to support your professional development.
  • Home office setup allowance to create your ideal workspace.
  • Regular remote company offsites for team bonding and collaboration.
Why This Job8.5 of 10

This Senior Data Platform Engineer role at MoonPay offers a unique opportunity to shape the future of data systems in a rapidly growing crypto company. With competitive salary and equity, it's an attractive position for experienced engineers.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in GCP services such as BigQuery, Cloud Dataflow, and Cloud Pub/Sub, with hands-on experience in building scalable data pipelines using Apache Beam and Kafka.

Strong self-motivation and discipline to work effectively in a fully remote environment, demonstrating the ability to manage time efficiently and maintain productivity without direct supervision.

A strategic mindset with a focus on data governance and compliance, ensuring data privacy regulations are met while implementing machine learning models for real-time data processing.

Learning Resources

Google Cloud Platform Documentationguide

Career Path

Senior Data Platform Engineer(Now)Lead Data Engineer(1-2 years)Data Platform Architect(3-5 years)

Market Overview

Market Size 2024
$35B
Annual Growth
22.5%
AI Adoption
60%
Investment in GCP Services
+45%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$120K

Skills & Requirements

Required
GCPKafkaApache Beam
Growing in Demand
Apache FlinkData Mesh ArchitectureKubernetes
Declining
Hadoop MapReduceTraditional ETL Tools

Domain Trends

Rise of Real-Time Data Processing
By 2025, 75% of organizations will prioritize real-time data processing to enhance decision-making.
Increased Focus on Data Governance
Data governance initiatives are expected to grow by 50% as companies strive to comply with regulations and ensure data quality.
Integration of Machine Learning in Data Pipelines
Over 65% of data platforms will incorporate machine learning to automate data processing and analytics by 2025.

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