Lucknow, Uttar Pradesh
Job Summary
Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.
In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.
You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,
highly secure, cost-effective, and fully observable.
Key Responsibilities:
Robust hands-on experience with Databricks Platform Engendering and Administration
Disaster Recovery - Multi region
Workspace Management
Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.
User Management
Governance & Security
Infrastructure as Code (IaC) & Automation - CI/CD
Optimization, Monitoring & Operations
Dashboards - Cost monitoring
Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources
Genie spaces, Databricks applications
Mosaic AI Agent Framework/ MOdel Training
Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.
Proficiency in Python and SQL for data engineering tasks.
Experience working within a medallion architecture framework.
Experience with model monitoring, alerting, and pipeline observability.
Strong documentation and communication skills.
Ability to quickly integrate into an existing team and architecture.
Familiarity with data privacy, compliance, and security best practices in cloud environments.
Key Responsibilities
Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.
In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.
You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,
highly secure, cost-effective, and fully observable.
Key Responsibilities:
Strong hands-on experience with Databricks Platform Engendering and Administration
Disaster Recovery - Multi region
Workspace Management
Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.
User Management
Governance & Security
Infrastructure as Code (IaC) & Automation - CI/CD
Optimization, Monitoring & Operations
Dashboards - Cost monitoring
Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources
Genie spaces, Databricks applications
Mosaic AI Agent Framework/ MOdel Training
Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.
Proficiency in Python and SQL for data engineering tasks.
Experience working within a medallion architecture framework.
Experience with model monitoring, alerting, and pipeline observability.
Strong documentation and communication skills.
Ability to quickly integrate into an existing team and architecture.
Familiarity with data privacy, compliance, and security best practices in cloud environments.
Skill Requirements
Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.
In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.
You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,
highly secure, cost-effective, and fully observable.
Key Responsibilities:
Strong hands-on experience with Databricks Platform Engendering and Administration
Disaster Recovery - Multi region
Workspace Management
Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.
User Management
Governance & Security
Infrastructure as Code (IaC) & Automation - CI/CD
Optimization, Monitoring & Operations
Dashboards - Cost monitoring
Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources
Genie spaces, Databricks applications
Mosaic AI Agent Framework/ MOdel Training
Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.
Proficiency in Python and SQL for data engineering tasks.
Experience working within a medallion architecture framework.
Experience with model monitoring, alerting, and pipeline observability.
Strong documentation and communication skills.
Ability to quickly integrate into an existing team and architecture.
Familiarity with data privacy, compliance, and security best practices in cloud environments.
Other Requirements
Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.
In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.
You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,
highly secure, cost-effective, and fully observable.
Key Responsibilities:
Strong hands-on experience with Databricks Platform Engendering and Administration
Disaster Recovery - Multi region
Workspace Management
Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.
User Management
Governance & Security
Infrastructure as Code (IaC) & Automation - CI/CD
Optimization, Monitoring & Operations
Dashboards - Cost monitoring
Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources
Genie spaces, Databricks applications
Mosaic AI Agent Framework/ MOdel Training
Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.
Proficiency in Python and SQL for data engineering tasks.
Experience working within a medallion architecture framework.
Experience with model monitoring, alerting, and pipeline observability.
Strong documentation and communication skills.
Ability to quickly integrate into an existing team and architecture.
Familiarity with data privacy, compliance, and security best practices in cloud environments.
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📌 Developer (India)
🏢 HCLTech
📍 India