JOB DESCRIPTION:

We are seeking a forward-thinking Data bricks Architect to lead the adoption and integration of Data bricks as our enterprise AI/ML platform. This individual will establish the technical architecture, drive innovation, and ensure seamless collaboration with internal infrastructure teams to align with organizational standards. The ideal candidate will empower our data science community with self-service model development and deployment capabilities, while ensuring global deployment of AI models in compliance with data sovereignty regulations. As a key consultant and influencer, you will be expected to bring contemporary best practices, foster team growth, and continuously improve our data and AI capabilities.
Qualifications
� Proven Experience: 5+ years architecting and implementing enterprise-grade data and AI/ML solutions, preferably with Databricks, Apache Spark, and cloud platforms (AWS, Azure, GCP).
� Technical Expertise: Deep understanding of data Lake house architectures, ETL/ELT pipelines, data governance, and security best practices.
� ModelOps Strategy: Demonstrated experience in developing and implementing a ModelOps strategy, including model lifecycle management, versioning, governance, and deployment automation.
� Consulting & Communication: Strong consulting, stakeholder management, and communication skills, with a track record of influencing senior leadership and driving technology adoption.
� Innovation & Initiative: Demonstrated ability to drive innovation, introduce contemporary practices, and lead technology transformations.
� Education: Bachelor�s or Master�s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Job Types: Full-time, Fixed term contract
Contract length: 12 months
Pay: $59.83-$80.36 per hour

Application question(s):

• Toronto ON— Onsite 4 days (hybrid)
• 5+ years architecting and implementing enterprise-grade data and AI/ML solutions, preferably with Databricks, Apache Spark, and cloud platforms (AWS, Azure, GCP).

Work Location: Hybrid remote in Toronto, O

Please refer the Job description for details