Databricks Architect

Querentia; Toronto; Hybrid; CAD 130,000 - 170,000; Full time

Job summary

Querentia is seeking an experienced Databricks Architect to design, implement, and govern an enterprise data platform on Azure Databricks. You will lead workspace provisioning, data lake design, security controls, metadata management, and source-system integration to deliver scalable analytics and data engineering capabilities.

You will produce high-level and low-level designs, define platform standards, drive automated deployments, and steer the platform from development to production readiness

Qualifications

• Strong hands-on Azure Databricks architecture and administration.
• Proven experience designing enterprise-scale data lakehouse and data platform solutions.
• Experience with workspace, compute, networking, and private-access architecture.
• Unity Catalog governance, access controls, and secure ADLS Gen2 storage including private endpoints.

Responsibilities

• Design, implement, and govern an enterprise data platform on Azure Databricks.
• Lead platform architecture end-to-end including provisioning, data lake design, and security controls.
• Produce HLD/LLD designs and define platform standards.
• Drive automated deployments and guide production readiness of the platform.
• Collaborate with stakeholders on source-system integration and data governance.

Skills

Azure Databricks architecture

Unity Catalog governance

Azure Key Vault

Private endpoints & networking

Data lakehouse design

IAM & data governance

CI/CD & IaC (Terraform)

Data ingestion & orchestration

HLD/LLD design

Tools

Terraform

Azure Databricks

Job description

Databricks Architect
Location: Toronto, Canada (Remote)
Employment Type: Contract-to-Hire (possible 3-month CTH)

Job Summary

We're looking for an experienced Databricks Architect to design, implement, and govern an enterprise data platform on Azure Databricks. You'll lead the platform architecture end to end, covering workspace provisioning, data lake design, security controls, metadata management, and source-system integration. The goal is scalable, secure, and well-governed analytics and data engineering capabilities. You'll produce HLD/LLD designs, define platform standards, lead automated deployments, and take the platform through to production readiness.

Key Skills

• Azure Databricks architecture and administration
• ADLS Gen2, Unity Catalog, and Azure Key Vault
• Azure networking, Private Link, and private endpoints
• Lakehouse and medallion architecture design
• Data governance, IAM, secrets management, and compliance controls
• CI/CD and Infrastructure as Code (Terraform preferred)
• Data orchestration, ingestion frameworks, and enterprise source connectivity
• HLD/LLD solution design

Required Qualifications

• Strong hands-on experience in Azure Databricks architecture and administration.
• Proven experience designing enterprise-scale data lakehouse and data platform solutions.
• Experience designing workspace, compute, networking, and private-access architecture.
• Hands-on experience implementing Unity Catalog governance, catalog structures, and access controls, and securing ADLS Gen2 storage, including private endpoints and retention policies.
• Experience with CI/CD, Terraform, and platform automation for environment deployment.
• Solid understanding of data integration and ingestion patterns, and of source-system authentication.
• The ability to define cluster, runtime, operational, and security standards, and to support testing, troubleshooting, and production readiness.

Nice to Have

• Databricks or Azure certifications (e.g., Databricks Data Engineer Professional, Azure Solutions Architect Expert).
• Experience with Azure Data Factory or Databricks Workflows.
• Experience migrating legacy data platforms to Databricks.
• A background in regulated industries such as BFSI or healthcare.