Join an cutting-edge team as a Lead Solution Architect specializing in Data Engineering within the growing Databricks practice across APAC. This hands-on role requires deep technical expertise and leadership in enterprise data solutions. As the Lead Solution Architect, you'll lead the architectural design for Databricks, ensuring that solutions are scalable and aligned with Lakehouse best practices.

This role involves significant interaction with CTOs and architecture boards, driving successful migrations and cloud transformations while mentoring engineering teams and enhancing delivery capabilities. Key Responsibilities:
Own architecture and design decisions for Databricks engagements
Lead delivery of data platforms, ensuring governance and performance




Drive large-scale migrations to Databricks on cloud platforms
Conduct performance tuning and engineering standards setting
Manage presales activities, including proposals and PoCs Requirements:
12+ years in data engineering/architecture, 3+ with Databricks
Robust expertise in Spark, Cloud platforms, and Lakehouse architecture
Proven track record in large transformation programs
Solid knowledge of Python, SQL, and Scala
Databricks certifications preferred Use your technical acumen and leadership skills to influence enterprise data strategies and drive successful outcomes.

📌 Lead Solution Architect Data Engineering Toronto (Canada)
🏢 Socket.dev
📍 Canada