Lead Data Engineer / Architect

Project X • Toronto, ON

7d • Hybrid

About The Position

Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done. Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great. As a Senior Data Engineer at Project X Ltd., you will be providing our clients with your knowledge and experience in making sense of messy, unstructured data. The Senior Data Engineer will be responsible for designing, implementing, and overseeing end-to-end solutions that address designing scalable and efficient data solutions, complex business challenges, and unlocking the value of data for our clients. This role will require demonstrated expertise in Snowflake to optimize data architecture, performance, and cost efficiency in a cloud-based environment.

Requirements

• 5+ years in data architecture or engineering, with hands-on Snowflake experience, including schema design, performance tuning, Snowflake Secure Data Sharing, cost optimization strategies, and end-to-end deployment.
• Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management.
• Deep knowledge of cloud environments (AWS, Azure, or GCP).
• Strong skills in SQL, Python.
• Experience with data modeling, integration, and governance frameworks.
• Familiarity with BI tools like Microstrategy, Tableau, or Power BI.
• Excellent communication, presentation, and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.

Nice To Haves

• SnowPro certification or other Snowflake credentials.
• Certifications in AWS, Azure, or GCP architecture.
• Passion for mentoring and helping clients make smart, data-driven decisions.
• Knowledge of emerging trends and technologies in data architecture, such as data mesh, event-driven architectures, and streaming analytics.

Responsibilities

• Design and implement end-to-end data solutions, from strategy to deployment.
• Shape enterprise data strategy, architecture, and governance frameworks for our clients.
• Lead data migration and integration projects, using tools like Snowpipe, Streams, and Tasks.
• Collaborate with analytics teams to support AI/ML and advanced analytics workloads using Snowpark and Python.
• Build and optimize cloud data platforms on AWS, Azure, or GCP.
• Act as a trusted advisor to clients, facilitating workshops and bringing thought leadership on modern data architecture best practices.
• Drive performance optimization and cost efficiency across deployments.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed