Responsibilities
Architecture & Platform
• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns
• Design systems for large-scale data growth and high processing workloads
• Define and refine cloud architecture across compute, storage, and networking
• Leverage cloud-native services and support capacity planning for peak demand
• Balance performance, reliability, and cost efficiency
Performance, Reliability & Delivery
• Optimize compute, storage, and data transfer costs
• Improve throughput and eliminate bottlenecks across pipelines and infrastructure
• Establish standards for observability, monitoring, logging, and alerting
• Improve system resilience, fault tolerance, and recovery
• Support incident analysis and continuous improvement
• Define architectural principles, standards, and best practices
• Lead design reviews and drive consistency across systems
• Ensure documentation and knowledge sharing are maintained
• Collaborate with data, ML, DevOps, and product teams
• Support planning, estimation, and technical decision-making
• Guide implementation and act as an escalation point for complex issues
Requirements:
• 5–10+ years in system architecture, solution design, or senior engineering roles
• Experience with large-scale data platforms and distributed systems
• Strong cloud expertise (AWS, Azure)
• Experience with batch and streaming data pipelines
• Solid understanding of microservices, APIs, and event-driven architectures
• Strong focus on scalability, performance, and cost optimization
• Exposure to high-volume data domains (e.g., geospatial, LiDAR) is a plus
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