📍 Lucknow, India

About this role

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:

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.

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.

Frequently Asked Questions

Is the salary disclosed for the Developer position at HCLTech?
The salary for this Developer role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Developer position at HCLTech located?
This Developer role at HCLTech is based in Lucknow, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Developer position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Developer job at HCLTech posted?
This Developer position at HCLTech was posted on Sep 24, 2026. Apply as soon as possible — early applications are often reviewed first.
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HCLTech
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