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.
Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

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.

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 technical talent.
• Ability to align technical direction with business goals, ensuring the data platform meets scalability, reliability, and performance requirements.
• Strong project management skills, with the ability to prioritize, plan, and execute multiple projects simultaneously.
• Comfortable working in a fast-paced, iterative development environment, balancing short-term needs with long-term platform evolution.
• Excellent communication skills, with the ability to translate technical concepts into business insights for non-technical stakeholders.
• Experience working with cross-functional teams, including product managers, data scientists, and infrastructure engineers.
• Ability to navigate trade-offs between technical feasibility, business requirements, and resource constraints.
• Passion for continuous learning and staying ahead of emerging technologies in the data engineering and cloud computing space.
• Strong problem-solving mindset with a focus on practical, scalable solutions.
• Entrepreneurial and self-motivated, thriving in a flat, collaborative organizational structure.
  If you got this far, we hope you’re feeling excited about this role! Even if you don’t feel you meet every single requirement, we still encourage you to apply.