ARCHITECT - Azure Databricks
Role Overview
Looking for a Databricks expert/architect in the US time zone.
Key skills are :
Architect with databricks expertise including unity catalog and notebooks
Expertise in databricks Performance tuning, troubleshooting jobs/notebooks.
Hands on in python
Design, architect, and implement scalable data solutions using the Databricks Lakehouse Platform.
Lead architecture discussions and provide best practices for Databricks-based implementations.
Configure and manage Unity Catalog for enterprise data governance, security, and access management.
Develop, review, and optimize Databricks notebooks for data engineering and analytics workloads.
Troubleshoot and resolve performance bottlenecks related to Databricks jobs, clusters, notebooks, and workflows.
Perform root cause analysis for failed jobs and production issues.
Implement monitoring, logging, and cost optimization strategies across Databricks environments.
Collaborate with business stakeholders, data engineers, and cloud teams to design robust data solutions.
Establish standards for code quality, CI/CD deployment, security, and operational excellence.
Mentor team members and provide technical leadership on Databricks best practices.
Full Job Posting
Job Description
Looking for a Databricks expert/architect in the US time zone. Key skills are:
Architect with databricks expertise including unity catalog and notebooks
Expertise in databricks Performance tuning, troubleshooting jobs/notebooks.
Hands on in python
Design, architect, and implement scalable data solutions using the Databricks Lakehouse Platform.
Lead architecture discussions and provide best practices for Databricks-based implementations.
Configure and manage Unity Catalog for enterprise data governance, security, and access management.
Develop, review, and optimize Databricks notebooks for data engineering and analytics workloads.
Troubleshoot and resolve performance bottlenecks related to Databricks jobs, clusters, notebooks, and workflows.
Perform root cause analysis for failed jobs and production issues.
Implement monitoring, logging, and cost optimization strategies across Databricks environments.
Collaborate with business stakeholders, data engineers, and cloud teams to design robust data solutions.
Establish standards for code quality, CI/CD deployment, security, and operational excellence.
Mentor team members and provide technical leadership on Databricks best practices.
Reference Number
DTTDGL01-15-1
About Happiest Minds Technologies
Public Indian digital engineering and IT services company helping enterprises modernize through product engineering, cybersecurity, analytics, and automation.
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