Job Title: Databricks Architect
Location: Toronto, ON
Model: Hybrid (4 Days onsite/ Week)
Job Type: Full time/ Contract

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