Azure Senior Data Lead

HCLTech
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📍 Bangalore, India

About this role

Job Summary

We are looking for an experienced Data Engineer – Azure Data Platform to design, develop, and maintain scalable data solutions across cloud-based data ecosystems. The ideal candidate should have strong expertise in Azure ELT pipelines, Data Modeling, Data Integration & Ingestion, Data Processing, and modern data engineering tools. The role involves building enterprise-grade data platforms, optimizing data workflows, implementing CI/CD processes, and supporting advanced analytics initiatives.

Key Responsibilities

  • Design and develop scalable ELT/ETL pipelines using Azure cloud technologies.
  • Build and manage data ingestion frameworks for structured, semi-structured, and streaming data.
  • Develop enterprise data models to support reporting, analytics, and business intelligence requirements.
  • Implement data transformations and processing using Databricks, SQL, and cloud-native services.
  • Create and optimize data workflows using Azure Data Factory, Airflow, and other orchestration tools.
  • Integrate data from multiple sources into Azure data platforms.
  • Design and maintain data lakes, warehouses, and analytical data stores.
  • Develop CI/CD pipelines using GitHub Actions and Azure DevOps.
  • Monitor, troubleshoot, and optimize data processing performance and reliability.
  • Enforce data quality, governance, security, and compliance standards.
  • Collaborate with architects, business stakeholders, analysts, and development teams to deliver data-driven solutions.

Skill Requirements

Data Engineering & Architecture

  • Azure ELT/ETL
  • Data Modeling
  • Data Integration & Ingestion
  • Data Manipulation and Processing
  • Data Warehousing Concepts
  • Data Lake Architecture

Azure & Cloud Technologies

  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Stream Analytics

Programming & Querying

  • SQL
  • Python
  • PySpark
  • Data Transformation Frameworks

Data Orchestration & Integration

  • Apache Airflow
  • AWS Glue
  • Kinesis
  • Redshift
  • Stream Processing

DevOps & CI/CD

  • GitHub
  • GitHub Actions
  • Azure DevOps
  • CI/CD Automation

Quality & Testing

  • SonarQube
  • PyTest
  • Code Quality Management
  • Automated Testing

Other Requirements

  • 5+ years of experience in Data Engineering.
  • Strong understanding of cloud-native data platforms.
  • Experience working with large-scale data migration and modernization projects.
  • Knowledge of Azure Data Lake, Delta Lake, and Lakehouse architectures.
  • Experience in Agile/Scrum delivery environments.
  • Azure Data Engineer Associate certification is preferred.

Frequently Asked Questions

Is the salary disclosed for the Azure Senior Data Lead position at HCLTech?
The salary for this Azure Senior Data 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 Azure Senior Data Lead position at HCLTech located?
This Azure Senior Data Lead role at HCLTech is based in Bangalore, 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 Azure Senior Data 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 Azure Senior Data Lead job at HCLTech posted?
This Azure Senior Data Lead position at HCLTech was posted on Oct 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Azure Senior Data Lead
HCLTech
Apply for this role ↗

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