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Manager, Data Engineering
Jobber
Toronto, CAN
Full-time
Mid-Senior
Onsite
$169,200
Discovered 1 weeks ago
Data engineeringEngineering team managementDistributed data systemsData orchestration frameworksCloud infrastructureSQL
Free
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Data engineeringEngineering team managementDistributed data systems
Role Overview
Jobber is hiring a Manager, Data Engineering for its Data organization.
The role reports to the Director of Data and spans Data and ML platforms.
The Data Integration team supports data ingestion, activation, platform administration, self-service tooling, data integrity, and governance.
Key Skills for This Role
Data engineeringEngineering team managementDistributed data systemsData orchestration frameworksCloud infrastructureSQL
Full Job Posting
Role overview
Jobber is hiring a Manager, Data Engineering for its Data organization.
The role reports to the Director of Data and spans Data and ML platforms.
The Data Integration team supports data ingestion, activation, platform administration, self-service tooling, data integrity, and governance.
Key responsibilities
- Lead a team of data engineers and manage performance, growth, deliverable quality, and team scaling.
- Partner with the Technical Program Manager to prioritize initiatives and develop quarterly roadmaps.
- Own strategy, roadmap, and delivery for scalable, high-performance, and cost-efficient data infrastructure.
- Ensure data systems are resilient, observable, secure, governed, and compliant.
- Recruit talent, build internal capabilities, and improve delivery and collaboration processes.
- Collaborate across engineering, analytics, and go-to-market teams to deliver high-quality product data.
- Use AI tools to support data strategy, experimentation, and continuous improvement.
Required qualifications
- Proven experience managing engineering teams, ideally in data engineering, with a record of delivering quality software and data solutions.
- Strong foundation in software and data engineering, distributed data systems, orchestration, cloud infrastructure, performance tuning, scaling, and cost optimization.
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