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Manager, Data Engineering

Remote, Toronto ยท Computer/Software

Manager of Data Engineering

Location: Toronto/GTA

Company Overview: Our client is a premier Data Cloud and Business Intelligence consulting company specializing in helping businesses harness the power of cloud technologies to drive data-driven decision-making and innovation. Our team of experts is dedicated to delivering cutting-edge solutions that empower our clients to unlock the full potential of their data.

Position Overview: We are seeking an exceptional Manager of Data Engineering to lead our talented team of data engineers in delivering innovative data solutions for our clients. The ideal candidate will have a strong background in data engineering, with expertise in cloud data technologies such as AWS, GCP, or Azure. This role requires a strategic thinker who can drive the design, development, and implementation of scalable data solutions while providing leadership and guidance to our team of data engineers.

Responsibilities:

  • Lead and manage a team of data engineers, providing mentorship, guidance, and support to ensure the successful delivery of client projects.
  • Collaborate closely with our consulting and sales teams to understand client requirements and develop tailored data solutions that address their specific needs.
  • Design, build, and maintain scalable data pipelines and infrastructure on cloud platforms such as AWS, GCP, or Azure.
  • Implement best practices for data management, including data governance, security, and compliance, to ensure the integrity and confidentiality of client data.
  • Serve as a subject matter expert on cloud data technologies, staying abreast of the latest advancements and industry trends to drive innovation in our solutions.
  • Define project scope, timelines, and deliverables, and track progress against key milestones to ensure timely and successful project delivery.
  • Foster a culture of collaboration, innovation, and continuous learning within the data engineering team and across the organization.

Qualifications:

  • Bachelor's or master's degree in computer science, engineering, or a related field.
  • Proven experience (5+ years) in a data engineering role, with a track record of successfully delivering data solutions on cloud platforms.
  • 2+ years in a leadership capacity
  • Strong expertise in cloud data technologies such as AWS (Amazon Web Services), GCP (Google Cloud Platform), or Azure (Microsoft Azure).
  • Experience designing and implementing scalable data pipelines using tools such as Apache Spark, Apache Airflow, or similar technologies.
  • Solid understanding of data warehousing concepts and technologies, including relational and NoSQL databases.
  • Excellent leadership and communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and drive consensus.
  • Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality solutions that meet client needs.
  • Experience working in a consulting or client-facing role is a plus.

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