Data & AI
Databricks Architect
Remote · CanadaContract · Remote 1 day ago
About the role
Databricks Architect
Location: Toronto, Canada (Remote)
Role Summary
We are seeking a Databricks Architect to design, implement, and govern enterprise data platforms on Azure Databricks . The role focuses on platform architecture, workspace provisioning, data lake design, security, metadata management, and source system integration.
Key Responsibilities
- Design Databricks workspace, compute, networking, and private-access architecture.
- Define data lake architecture including Bronze, checkpoint, archive, and quarantine zones .
- Establish orchestration patterns, catalog structures, and platform standards.
- Develop HLD/LLD solution designs.
- Lead Databricks environment deployment using automation frameworks.
- Implement security and governance using Unity Catalog and Azure Key Vault .
- Configure ADLS Gen2 , private endpoints, retention, and access controls.
- Design source connectivity, authentication, and data ingestion frameworks.
- Define cluster, runtime, operational, and security standards.
- Support testing, troubleshooting, validation, and production readiness.
Required Skills
- Strong experience with Azure Databricks architecture and administration .
- Expertise in ADLS Gen2, Unity Catalog, Azure Key Vault, Private Link, and networking .
- Enterprise-scale data lakehouse/data platform architecture experience.
- Strong knowledge of data governance, security, IAM, secrets management, and compliance .
- Experience with CI/CD and Infrastructure as Code , preferably Terraform.
- Strong understanding of data integration, ingestion patterns, and enterprise source connectivity .
This engagement is managed end-to-end by Querentia. Our recruiters give you honest feedback at every stage, prepare you for the interview, and support a smooth onboarding once you land the offer.
Skills
Data Engineering