We are looking to hire highly experienced Databricks Architect to design, migrate, and optimize large-scale data platforms on Databricks. This is a senior-level role requiring solid architectural ownership, hands-on experience with Databricks migrations, and deep expertise in modern data engineering ecosystems. The ideal candidate has prior experience in data architecture roles before Databricks and has successfully transitioned data platforms into the Databricks environment while ensuring scalability, performance, and cost efficiency.
Key Responsibilities
· Design and lead end-to-end data architecture solutions using Databricks
· Own and execute data migration strategies into Databricks from legacy or cloud data platforms
· Architect scalable Lakehouse solutions using Delta Lake, Spark, and cloud-native services
· Define best practices for data modeling, ingestion, processing, and governance
· Collaborate with data engineers, analytics teams, and stakeholders to translate business requirements into technical designs
· Optimize performance, reliability, and cost of Databricks workloads
· Ensure data security, compliance, and access controls within Databricks environments
· Review and guide implementation through design reviews and technical governance
Required Skills & Experience
· Several years of experience as a Data Architect / Databricks Architect
📌 Databricks Architect (Toronto)
🏢 Recutify
📍 Toronto
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