Provide Data Platform Leadership - Lead the Data scrum team responsible for our external-facing Data API that serves as the primary interface between clients and our multi-tenant MongoDB infrastructure - Drive architecture decisions for scalable data ingestion pipelines, real-time processing, and analytical APIs serving millions of restaurant transactions - Own the technical roadmap for data platform evolution, ensuring performance at scale across diverse client types (web applications, on-premise systems, POS/Kiosk devices)
Develop High-Performance Systems - Oversee development of APIs and data services powering real-time operations and historical reporting across Qu's restaurant intelligence platform - Ensure sub-second response times and 99.9%+ availability for mission-critical restaurant operations data - Guide technical architecture for complex multi-tenant data scenarios with strict isolation and performance requirements
Drive Remote Team Excellence - Manage distributed engineering teams across multiple time zones with precision and accountability - Implement rigorous development practices, code review processes, and performance metrics for remote collaboration - Drive technical mentorship and career development for data engineers specializing in MongoDB, AWS, and high-throughput API development
Oversee Technical Integration & Governance - Collaborate across 7 scrum teams to ensure seamless data flow between Core Services, Cloud Applications, and On-Premise systems - Define and enforce API governance standards for external data access, ensuring security, performance, and usability - Partner with DevOps teams to implement comprehensive monitoring using OpenTelemetry, ElasticAMP, and CloudWatch
What we're looking for:
Leadership & Management - 5+ years managing remote engineering teams, with demonstrated success in high-precision, distributed work environments - Proven track record leading teams building production data APIs serving 10M+ requests/day - Experience managing engineers across different cultures and time zones with measurable delivery outcomes
Technical Expertise - Deep hands-on experience with MongoDB at scale, including sharding, replica sets, and performance optimization - Extensive background in building high-throughput REST APIs and data processing pipelines on AWS - Strong understanding of multi-tenant architecture patterns and data isolation strategies - Experience with real-time data systems and sub-second latency requirements
Data Platform Experience - 3+ years leading teams building enterprise data platforms or analytics APIs - Proven experience with data modeling, query optimization, and cloud-based data pipelines (AWS preferred) - Understanding of restaurant/retail POS ecosystems, transaction data, and operational reporting requirements
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