Senior Data Engineer / Data Engineering Technical Lead

Team: IT

Location: Canada

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, develop, maintain, and optimize scalable data engineering solutions using Snowflake, dbt, Python, and ETL/ELT technologies.
• Build and optimize data pipelines supporting ingestion, transformation, integration, reporting, and downstream data requirements.
• Design and implement data warehouse solutions aligned with business objectives and technical requirements.
• Analyze technical requirements and recommend scalable data engineering approaches, architectures, and implementation strategies.
• Support data modeling, transformation, data quality, performance optimization, testing, deployment, and production support.
• Provide technical guidance to data engineering team members and promote consistent engineering practices.
• Define, advocate for, and implement coding standards, development practices, and data engineering best practices.
• Conduct technical reviews of data engineering solutions, code, and implementations, identifying risks, dependencies, and potential challenges.
• Break down complex technical requirements into manageable components and provide development estimates.
• Evaluate tools, frameworks, technical alternatives, and implementation approaches based on project needs.
• Collaborate with architects, developers, analysts, and project stakeholders to align technical solutions with project requirements.
• Support technical escalations, risk mitigation, issue resolution, and delivery activities.
• Prepare technical status updates and provide input into project planning, estimates, deliverables, dependencies, and delivery tracking.

Requirements:

• Professional experience in Data Engineering or a closely related technical field.
• Strong hands-on experience with Snowflake, dbt, and Python.
• Proven experience designing and developing ETL/ELT pipelines and scalable data solutions.
• Strong understanding of data warehousing concepts, architecture, data modeling, transformation, and integration.
• Ability to analyze complex technical requirements and translate them into practical, scalable data engineering solutions.
• Experience with technical troubleshooting, performance optimization, data quality, and production support.
• Experience participating in technical design discussions, solution reviews, and code reviews.
• Previous experience as a Senior Data Engineer, Data Engineering Lead, Technical Lead, or similar role is preferred.
• Experience providing technical guidance, mentoring, and knowledge sharing to other data engineers.
• Familiarity with cloud-based data platforms and modern data stack technologies.
• Experience with CI/CD, Git, and version-control practices for data engineering is preferred.
• Knowledge of data governance, data quality, and metadata management is an advantage.
• Experience working in Agile or structured software-development environments.
• Strong written and verbal communication skills, with the ability to collaborate effectively across technical and business teams.

Benefits:

• Remote work opportunity.
• Opportunity to work with modern data engineering technologies including Snowflake, dbt, and Python.
• Technical leadership responsibilities across data architecture, engineering standards, and solution delivery.
• Exposure to enterprise data warehousing, ETL/ELT, data modeling, and modern data platforms.
• Collaboration with engineering, architecture, analytics, and project stakeholders.
• Opportunity to contribute to technical strategy, development practices, and continuous improvement.