Team Lead, Data Platform Development

**Who we are**: Geotab ® is a global leader in IoT and connected transportation and certified "Great Place to Work." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. **Who you are**: We are always looking for amazing talent who can contribute to our growth and deliver results Geotab is seeking a Team Lead, Data Platform Development to support our big data infrastructure on Google Cloud Platforms. If you love technology, and are keen to join an industry leader — we would love to hear from you **What you'll do**: The Team Lead, Data Platform Development will oversee the design, development, and maintenance of the organization's data platform infrastructure. This includes leading and mentoring a team of developers, ensuring the creation of scalable, secure, and high-performance data solutions for analytics, machine learning, and other data-driven initiatives. **How you'll make an impact**: - Provide technical leadership to the team, ensuring best practices in software development, cloud architecture, and data platform engineering. - Lead architectural discussions and decision-making, ensuring scalability, reliability, and maintainability of the platform. - Design, build, and maintain data platform services that integrate seamlessly with enterprise systems. - Advocate high-quality coding standards and automation, ensuring efficiency and performance optimization. - Participate in incident response and root cause analysis, ensuring platform reliability and continuous improvement. - Oversee team performance, providing direction, coaching, and mentorship to foster growth. - Provide direction, coaching, and mentorship, fostering technical and professional growth among team members. - Set clear performance expectations and regularly provide feedback, guiding career development and training opportunities. - Collaborate with employees during the performance management process, assisting in goal-setting, KPA reviews, and career planning. - Identify and address skill gaps, ensuring team members receive relevant training and development. - Foster a collaborative and inclusive team culture, promoting innovation and knowledge sharing. - Participate in hiring efforts by recruiting, onboarding, and retaining top engineering talent. - Manage team expectations regarding task assignments, work arrangements, and departmental processes. - Collaborate with cross-functional teams (product, infrastructure, data science) to align technical initiatives with business goals. - Support Geotab's global strategic initiatives, ensuring alignment with company-wide technology and data strategies. - Communicate effectively with stakeholders at all levels, translating technical concepts into actionable business insights. - Participate in a 24x7 on-call rotating schedule (if applicable). **What you'll bring to the role**: - Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field. - 5-8 years experience as a Big Data Developer, Data Engineer or a similar role. - 5-8 years proficiency in large-scale container orchestration technologies such as Docker and Kubernetes. - 5-8 years experience in designing and developing production-grade distributed systems using Java (Python or C#), along with relevant open-source frameworks. - Deep expertise in microservices architecture, distributed systems, and scalable cloud-based data solutions. - In-depth experience with cloud-based data environments, including Google Kubernetes Engine (GKE), BigQuery (GBQ), Cloud Storage (GCS), and other GCP services. - Strong ability to diagnose and resolve complex performance and scalability issues using performance profiling, call stack analysis, and trace file debugging. - Experience designing and optimizing data processing pipelines for large-scale structured and unstructured data. - Proven ability to lead and mentor a team of developers, fostering a collaborative, high-performance culture. - Experience in technical coaching, setting performance expectations, and facilitating professional development. - Strong ability to delegate effectively, ensuring team members take ownership while providing support when needed. - Experience in recruiting, onboarding, and retaining top t