Manager, Data Engineering

HRB; Toronto; Hybrid; CAD 90,000 - 150,000; Full time

Job summary

An established industry player is looking for a Manager of Data Engineering to lead a talented team in delivering innovative data solutions. This role involves leveraging cloud technologies to create scalable data infrastructures while mentoring and guiding engineers. The ideal candidate will have extensive experience in data engineering and a proven track record of delivering cloud-based solutions. Join this forward-thinking company to drive data-driven decision-making and foster a culture of innovation and collaboration within the team.

Qualifications

• 5+ years of experience in data engineering with cloud platforms.
• 2+ years in a leadership role managing data engineering teams.

Responsibilities

• Lead a team of data engineers to deliver innovative data solutions.
• Design and maintain scalable data pipelines on cloud platforms.

Skills

Data Engineering

Cloud Technologies (AWS, GCP, Azure)

Data Pipeline Design

Leadership

Data Governance

Problem-Solving

Education

Bachelor's Degree in Computer Science

Master's Degree in Engineering

Tools

Apache Spark

Apache Airflow

Job description

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.