Lead Data Platform Engineer – Robotics Systems - Boston

Daily Responsibilities

• Design and build scalable data platforms supporting robotic fleet operations
• Create streaming architectures that process millions of operational events daily
• Create reusable data services that support AI, simulation, and business intelligence workloads
• Partner with robotics and software teams to define data collection and integration standards
• Improve performance, reliability, and scalability of mission-critical data systems
• Build tools that enable real-time visibility into warehouse and automation operations
• Develop frameworks for operational metrics, system health monitoring, and platform observability
• Optimize cloud infrastructure supporting data-intensive workloads
• Support engineering teams by providing reliable access to operational and historical datasets
• Drive technical improvements across the organization's data ecosystem

Requirements

• Strong experience building large-scale distributed data platforms
• Advanced proficiency with Python, Java, or Scala
• Deep knowledge of data architecture and systems design
• Experience with Kafka, Spark, Flink, or similar distributed processing technologies
• Experience with cloud-native architectures in AWS, Azure, or GCP
• Knowledge of infrastructure automation and containerized environments
• Experience supporting high-volume streaming data systems
• Strong SQL and database performance optimization skills
• Experience with CI/CD and software engineering best practices
• Understanding of event-driven architectures

Qualifications

• 6+ years of Data Engineering or Platform Engineering experience
• Experience supporting robotics, manufacturing, industrial automation, or IoT environments
• Familiarity with machine learning infrastructure and feature engineering platforms
• Experience with Kubernetes and cloud-native services
• Knowledge of operational analytics and industrial telemetry systems
• Experience leading technical projects and mentoring engineers
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• Experience working in fast-growing technology organizations