Lead Data Engineer - Snowflake and AWS

Must Have skills: Snowflake dBT AWS Key Responsibilities Technical Leadership: Define and drive the data engineering strategy, standards, and best practices across the organization. Solution Design: Develop high-level and low-level solution architectures, ensuring alignment with business and technical goals. Data Pipeline Development: Lead the design and implementation of high-performance data pipelines using tools like dbt Core/Cloud, ensuring scalability and maintainability. Data Modeling: Design and review conceptual, logical, and physical data models to support business needs. Code Ownership: Write and maintain clean, reusable code in SQL, Python, Shell, and Terraform. Quality & Governance: Champion data quality, governance, and cataloging practices; create and review test plans to validate data solutions. Issue Resolution: Perform root cause analysis and implement effective solutions for complex data issues. Agile Delivery: Lead agile ceremonies, foster a delivery-focused mindset, and ensure timely execution of data initiatives. Mentorship: Guide and mentor Data Engineers and project team members, elevating team capabilities and engineering excellence. Collaboration: Work closely with architects, designers, QA engineers, and delivery teams to ensure cohesive and customer-centric data products. Documentation: Produce and maintain comprehensive technical documentation to support implementation and knowledge sharing. Talent Development: Contribute to hiring by designing technical challenges, conducting interviews, and supporting onboarding.

Location: Markham, Ontario, CA

Posted Date: 11/4/2025