Senior Technical Lead
HCLTech
Senior Technical Lead
About this role
Job Summary
The Azure Databricks - Data Engineer – FinOps & Cloud Ops is responsible for building, operating, and optimizing cloud cost and operations analytics platforms using Azure Databricks, ADLS Gen2, and FinOps frameworks. The role combines data engineering, cloud operations, and financial governance to support Cloud Center of Excellence (CCoE) and Operational Excellence programs across multi-cloud environments (Azure, AWS, GCP).
Azure Databricks & Data Engineering
- Design and implement Bronze / Silver / Gold data lake architecture using Azure Databricks + ADLS Gen2.
- Build scalable ingestion pipelines using Databricks Autoloader, Azure Data Factory, and APIs.
- Develop and optimize Spark (PySpark / SQL) jobs for large cloud billing, usage, and telemetry datasets.
- Implement Unity Catalog for fine-grained access control, auditing, and governance
-
inOps (Cloud Cost Management)
- Ingest and normalize cost & usage data from Azure Cost Management, AWS CUR, Cloudability, Excel-based finance sources, and ServiceNow CMDB.
- Build cost allocation, chargeback/showback, and optimization datasets.
- Develop Power BI semantic models and dashboards on Databricks Gold layer.
- Partner with Finance and Cloud teams to deliver cost transparency and optimization insights.
Key Responsibilities
The Azure Databricks - Data Engineer – FinOps & Cloud Ops is responsible for building, operating, and optimizing cloud cost and operations analytics platforms using Azure Databricks, ADLS Gen2, and FinOps frameworks. The role combines data engineering, cloud operations, and financial governance to support Cloud Center of Excellence (CCoE) and Operational Excellence programs across multi-cloud environments (Azure, AWS, GCP).
Azure Databricks & Data Engineering
- Design and implement Bronze / Silver / Gold data lake architecture using Azure Databricks + ADLS Gen2.
- Build scalable ingestion pipelines using Databricks Autoloader, Azure Data Factory, and APIs.
- Develop and optimize Spark (PySpark / SQL) jobs for large cloud billing, usage, and telemetry datasets.
- Implement Unity Catalog for fine-grained access control, auditing, and governance
-
inOps (Cloud Cost Management)
- Ingest and normalize cost & usage data from Azure Cost Management, AWS CUR, Cloudability, Excel-based finance sources, and ServiceNow CMDB.
- Build cost allocation, chargeback/showback, and optimization datasets.
- Develop Power BI semantic models and dashboards on Databricks Gold layer.
- Partner with Finance and Cloud teams to deliver cost transparency and optimization insights.
Skill Requirements
The Azure Databricks - Data Engineer – FinOps & Cloud Ops is responsible for building, operating, and optimizing cloud cost and operations analytics platforms using Azure Databricks, ADLS Gen2, and FinOps frameworks. The role combines data engineering, cloud operations, and financial governance to support Cloud Center of Excellence (CCoE) and Operational Excellence programs across multi-cloud environments (Azure, AWS, GCP).
Azure Databricks & Data Engineering
- Design and implement Bronze / Silver / Gold data lake architecture using Azure Databricks + ADLS Gen2.
- Build scalable ingestion pipelines using Databricks Autoloader, Azure Data Factory, and APIs.
- Develop and optimize Spark (PySpark / SQL) jobs for large cloud billing, usage, and telemetry datasets.
- Implement Unity Catalog for fine-grained access control, auditing, and governance
-
inOps (Cloud Cost Management)
- Ingest and normalize cost & usage data from Azure Cost Management, AWS CUR, Cloudability, Excel-based finance sources, and ServiceNow CMDB.
- Build cost allocation, chargeback/showback, and optimization datasets.
- Develop Power BI semantic models and dashboards on Databricks Gold layer.
- Partner with Finance and Cloud teams to deliver cost transparency and optimization insights.
Other Requirements
Frequently Asked Questions
Is the salary disclosed for the Senior Technical Lead position at HCLTech?
The salary for this Senior Technical Lead 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 Senior Technical Lead position at HCLTech located?
This Senior Technical Lead role at HCLTech is based in Chennai, 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 Senior Technical Lead 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 Senior Technical Lead job at HCLTech posted?
This Senior Technical Lead position at HCLTech was posted on Sep 22, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Technical Lead
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.