Data Lead - Azure Data Factory (ADF), Databricks
About this role
Job Summary
The Technical Lead will be responsible for leading and managing the implementation, maintenance, and support of Snowflake, Azure Data Factory (ADF), and Data Bricks solutions. The role involves overseeing the technical aspects of projects related to data engineering, data integration, and data processing using these platforms.
Key Responsibilities
1. Lead the design, development, and deployment of snowflake, azure data factory (adf), and data bricks solutions according to project requirements.
2. Collaborate with cross functional teams to gather data requirements, design data pipelines, and ensure data quality and integrity.
3. Provide technical guidance and mentorship to team members on best practices for utilizing snowflake, azure data factory (adf), and data bricks.
4. Troubleshoot and resolve technical issues related to data pipelines, data transformation, and data storage in snowflake, azure data factory (adf), and data bricks.
5. Stay updated on industry trends and best practices related to snowflake, azure data factory (adf), and data bricks to recommend and implement improvements in existing data processes.
2. Collaborate with cross functional teams to gather data requirements, design data pipelines, and ensure data quality and integrity.
3. Provide technical guidance and mentorship to team members on best practices for utilizing snowflake, azure data factory (adf), and data bricks.
4. Troubleshoot and resolve technical issues related to data pipelines, data transformation, and data storage in snowflake, azure data factory (adf), and data bricks.
5. Stay updated on industry trends and best practices related to snowflake, azure data factory (adf), and data bricks to recommend and implement improvements in existing data processes.
Skill Requirements
1. Proficiency in snowflake architecture, implementation, and optimization.
2. Handson experience with azure data factory (adf) including data pipeline development, integration, and monitoring.
3. Strong knowledge of data bricks for big data processing, data engineering, and machine learning workflows.
4. In-depth understanding of data warehousing concepts, etl processes, and data modeling techniques.
5. Excellent problem-solving skills and ability to work in a fast paced environment.
6. Strong communication and leadership skills to effectively collaborate with team members and stakeholders.
2. Handson experience with azure data factory (adf) including data pipeline development, integration, and monitoring.
3. Strong knowledge of data bricks for big data processing, data engineering, and machine learning workflows.
4. In-depth understanding of data warehousing concepts, etl processes, and data modeling techniques.
5. Excellent problem-solving skills and ability to work in a fast paced environment.
6. Strong communication and leadership skills to effectively collaborate with team members and stakeholders.
Other Requirements
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Frequently Asked Questions
Is the salary disclosed for the Data Lead - Azure Data Factory (ADF), Databricks position at HCLTech?
The salary for this Data Lead - Azure Data Factory (ADF), Databricks 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 Data Lead - Azure Data Factory (ADF), Databricks position at HCLTech located?
This Data Lead - Azure Data Factory (ADF), Databricks role at HCLTech is based in Bengaluru, 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 Data Lead - Azure Data Factory (ADF), Databricks 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 Data Lead - Azure Data Factory (ADF), Databricks job at HCLTech posted?
This Data Lead - Azure Data Factory (ADF), Databricks position at HCLTech was posted on Sep 24, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Lead - Azure Data Factory (ADF), Databricks
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.