Databricks Architect
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+9 more
Job description
data integration data governance Microsoft Azure CI/CD & Deployment Azure Databricks metadata management cloud security
The Databricks Architect is responsible for designing, implementing, and governing enterprise data platforms on Azure Databricks. The role leads platform architecture, workspace provisioning, data lake design, security controls, metadata management, and source system integration to enable scalable, secure, and governed analytics and data engineering capabilities., * Design Databricks workspace, compute, networking, and private-access architecture.
- Define data lake architecture, including Bronze, checkpoint, archive, and quarantine zones.
- Establish data orchestration patterns, catalog structures, and platform standards.
- Develop high-level and low-level solution designs (HLD/LLD).
- Lead deployment and configuration of Databricks environments using approved automation frameworks.
- Implement security, governance, and access controls using Unity Catalog and Azure Key Vault.
- Configure and secure ADLS Gen2 storage, private endpoints, retention policies, and access management.
- Design and validate source system connectivity, authentication mechanisms, and data ingestion frameworks.
- Define cluster, runtime, operational, and security standards for the platform.
- Support testing, validation, troubleshooting, and production readiness activities.
Requirements
- Strong experience with Azure Databricks architecture and administration.
- Expertise in ADLS Gen2, Unity Catalog, Azure Key Vault, Private Link, and networking.
- Experience designing enterprise-scale data lakehouse and data platform solutions.
- Knowledge of data governance, security, IAM, secrets management, and compliance controls.
- Experience with CI/CD, Infrastructure as Code (Terraform preferred), and platform automation.
- Strong understanding of data integration, ingestion patterns, and enterprise source connectivity.
Benefits & conditions
The pay range that the employer in good faith reasonably expects to pay for this position is $50.85/hour - $79.46/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this roleβ¦