Data Engineering Lead
ArineFull Time
Expert & Leadership (9+ years)
Candidates should have experience in data engineering and team leadership, with a focus on performance facilitation and people management. A background in developing and scaling data infrastructure, including data stores, compute engines, and orchestration systems, is necessary. Experience ensuring data systems are resilient, observable, and governed, with robust recovery strategies, proactive monitoring, and best practices for security, integrity, and compliance is also required.
The Manager, Data Engineering will lead a team of data engineers, partner with a Technical Program Manager to prioritize initiatives and build roadmaps, and manage team performance, growth, and deliverables. They will also shape technical decisions, recruit talent, implement processes for improved delivery, and own the strategy, roadmap, and delivery of scalable and cost-efficient data infrastructure. Responsibilities include ensuring data systems are resilient, observable, and governed, and implementing recovery strategies, monitoring, and security best practices.
SaaS platform for home service management
Jobber provides software solutions tailored for home service businesses, helping them manage operations like quoting, scheduling, invoicing, and payment collection. The platform operates on a subscription model, allowing small to medium-sized businesses in industries such as cleaning, landscaping, plumbing, and HVAC to access its features for a recurring fee. Jobber simplifies the management process, making it easier for businesses to serve their customers. It includes a mobile app and offers unlimited one-on-one support, along with resources like salary reports to assist in hiring. Jobber's goal is to enhance the efficiency and effectiveness of home service businesses.