Azure Senior Data Lead

HCLTech
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📍 Lucknow, India

About this role

Job Summary

We are seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives.

Key Responsibilities

  • Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem
  • Build and manage Azure Data Factory (ADF) pipelines for efficient data ingestion and transformation
  • Integrate structured and unstructured data from multiple sources into Azure Data Lake / Analytics platforms
  • Develop ETL processes to support analytics and reporting requirements
  • Collaborate with cross-functional teams to deliver high-quality data solutions
  • Translate business requirements into technical designs and implement scalable architecture
  • Ensure performance optimization, data quality, and reliability across data pipelines
  • Support deployment and version control using Azure DevOps

Skill Requirements

Mandatory Skills

  • Strong expertise in Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS)
  • Hands-on experience with:
    • Azure Data Factory (ADF)
    • Azure Databricks
    • Azure Synapse Analytics
    • Azure DevOps
    • Azure Storage / Data Lake
  • Solid understanding of ETL processes and data integration
  • Proficiency in SQL and relational databases
  • Strong analytical and problem-solving skills

Preferred Skills (Good to Have)

  • Experience with Python scripting and Spark APIs
  • Exposure to client-facing roles and stakeholder interactions
  • Familiarity with Agile / Scrum methodologies

Educational Qualification

  • Bachelor’s degree in Computer Science / Information Technology / related field

Skill Evaluation Matrix (Snapshot)

  • Azure Stack, ADF, Databricks, Synapse, ETL, SQL – Core strengths required
  • DevOps, Storage/Data Lake – Supporting capabilities
  • Python/Spark, Client Engagement, Agile – Added advantage

Other Requirements

1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.

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 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 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 Sep 25, 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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