Azure Data bricks Architect

Azure Data bricks Architect in Toronto ON Canada
Onsite 4 days (hybrid) – Contract.
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.

If interested, please send your updated resume to srinivas.kumar@wireframesolutions.ca