Team Lead, Data Platform Development

Geotab; Oakville; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

Geotab, a leader in IoT and connected transportation, is seeking a Team Lead for Data Platform Development. This role involves overseeing the data platform infrastructure on Google Cloud Platforms, guiding a team of developers to deliver scalable and secure solutions, while enabling innovation and optimizing processes. With flexible working conditions and a diverse culture, Geotab offers a unique opportunity to thrive in a fast-paced environment.

Benefits

Flex working arrangements

Home office reimbursement

Electric vehicle purchase incentive

Competitive medical and dental benefits

Retirement savings program

Qualifications

• 5-8 years as a Big Data Developer or Data Engineer.
• Proficiency in container orchestration technologies.
• Experience in developing production-grade distributed systems.

Responsibilities

• Lead design and maintenance of data platform infrastructure.
• Provide technical leadership and ensure best practices.
• Mentor team members and foster a collaborative culture.

Skills

Distributed Computing

Data Engineering

Cloud-native Solutions

Technical Leadership

Project Management

Microservices Architecture

Performance Optimization

Education

Post-secondary Degree in Computer Science or related field

Tools

Google Cloud Platforms

Docker

Kubernetes

Job description

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 ourblog and follow us @InsideGeotab onInstagram . Join ourtalent 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.

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.

Act as the subject matter expert (SME) in distributed computing, data engineering, and cloud-native solutions.

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 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.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

Why job seekers choose Geotab

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at [e-mail]. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy . Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

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