Lead Data Engineer

Digital Extremes•London, ON

45d

About The Position

We are seeking a highly skilled Lead Data Engineer to join our team. The ideal candidate will have extensive hands-on experience working with various databases and use their expertise to help us create a more future-proof and scalable data infrastructure. We need someone who can ramp up on our current self-hosted systems, suggest improvements, and lead projects and teams. This role is an exciting opportunity to shape the future of our data infrastructure while working in a collaborative and evolving environment. If you are a proactive, solutions-oriented data engineer with a passion for optimizing databases, ensuring data integrity, and guiding teams toward success, we encourage you to apply

Requirements

Experience with database management systems such as PostgreSQL, MongoDB, and other relational and NoSQL databases.
Experience with setting up, managing, and optimizing self-hosted databases.
Strong proficiency in SQL and experience working with Linux/Unix environments.
Hands-on experience with ETL orchestration tools such as Dagster or Airflow.
In-depth knowledge of data warehousing concepts and relational data modeling.
Experience managing projects and teams, including setting timelines, tracking progress, and ensuring deliverables.
Demonstrated ability to lead and mentor teams, with a focus on collaboration and knowledge sharing.
Applicants must be legally eligible to work in Canada at the time of application.

Responsibilities

Maintain and optimize existing databases, including version updates, performance tuning, hardware upgrades, and monitoring.
Design, develop, and maintain robust data pipelines for data ingestion and processing.
Manage self-hosted database solutions, focusing on performance for large-scale data analysis and efficient data warehousing.
Integrate data from various sources, ensuring high data quality and consistency.
Ensure compliance with government policies and processes related to data security, privacy, and GDPR regulations.
Collaborate with data scientists, analysts, and other teams to understand data requirements and develop scalable solutions.
Provide insights into database architecture and recommend improvements that align with business needs and future scalability.
Adapt to team needs and organizational restrictions to support evolving data strategies.
Lead project initiatives, manage timelines, and coordinate cross-functional teams.
Mentor team members, fostering growth and best practices in data engineering.
Other responsibilities as required.