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terraform sql python kubernetes airflow📋 Description
- Contribute to data platform evolution across streaming, batch, warehousing
- Define architectural principles for safe, consistent teams
- Work with compliance/security to meet reliability and regulatory needs
- Identify long-term risks and guide incremental improvements
- Improve reliability, scalability, and cost-efficiency of the data stack
- Evolve streaming and warehouse infra for real-time and batch workloads
🎯 Requirements
- Architecture on a broad data platform
- Distributed/event-driven systems; modern warehousing
- Align engineers and stakeholders around shared standards
- Reliability, cost management, governance, compliance at scale
- Move between high-level architecture and hands-on implementation
- Regulated environments familiarity; Kafka/Pub/Sub, Airflow, Kubernetes, Terraform, Python, SQL
🎁 Benefits
- Competitive salary package
- Equity package: ownership at MoonPay
- Pay for performance equity bonus
- Moonshot award for exceptional impact
- Unlimited holidays
- Hybrid working schedule
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