Become a key player in a dynamic Data Engineering setting as a Data Engineering Architect specializing in Databricks. This role is integral to delivering enterprise-level solutions throughout APAC.In this position, you'll serve as the technical leader, driving solution design, overseeing large migrations, and ensuring best practices in architecture. You will be at the forefront of client engagements, translating complex technical decisions into actionable strategies, all while supporting and mentoring your engineering team.Key Responsibilities:
- Deliver comprehensive architecture on Databricks engagements
- Oversee production data platform development and management
- Facilitate smooth transitions to cloud environments from legacy systems




- Participate in performance tuning and evaluate engineering standards
- Lead presales initiatives, including solution estimation and proposalsRequirements:
- 12+ years of experience in data engineering, 3+ on Databricks
- Expertise in Spark and Lakehouse architecture best practices
- Experience in transitioning legacy systems and managing migrations
- Proficiency in Python, SQL, and Scala
- Preference for candidates with Databricks certificationsUse your skills in solution architecture and hands-on engineering to build high-performing data platforms in a collaborative environment.#J-18808-Ljbffr

📌 Data Engineering Architect - Databricks Focus (Toronto)
🏢 Socket.dev
📍 Toronto