Posted 17 days ago
Databricks Architect
@ Querentia Inc.
Remote in Canada
Overview
Querentia Inc. is hiring a Databricks Architect on a contract-to-hire basis, with a possible 3-month conversion, for remote work based in Toronto. The role designs, implements and governs an enterprise data platform on Azure Databricks, covering workspace provisioning, data lake design, security controls, metadata management and source-system integration. The posting states the role is remote.
Responsibilities:
- Design and govern an enterprise data platform on Azure Databricks
- Define workspace, networking and private-access architecture
- Implement Unity Catalog governance and secure ADLS Gen2 storage
- Automate environment deployments with CI/CD and Terraform
- Produce HLD/LLD designs and define platform standards
Requirements summary:
- Strong hands-on Azure Databricks architecture and administration
- Proven enterprise lakehouse and data platform design experience
- Unity Catalog governance and ADLS Gen2 security experience
- CI/CD, Terraform and platform automation experience
- Solid understanding of data ingestion and source-system authentication
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Querentia Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 331 |
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.
Journal
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