Team Lead, Data Platform Development
Team Lead, Data Platform Development
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Job Description
Who we are:
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 youll do:
The Team Lead Data Platform Development will oversee the design development and maintenance of the organizations 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 youll 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 Geotabs 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 youll 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.
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
Employment Type
Full Time
