Senior Technical Lead
India
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Job Description
Senior Technical Lead
Chennai, Tamil Nadu

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
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.