Time since we first saw it
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From 13,630 similar postings that came down. Coming down is not always a hire.
Senior Data Lead - Azure Data Factory (ADF), Databricks (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead and mentor technical teams on Snowflake, ADF and Databricks projects
Design, develop and maintain data pipelines for business requirements
Monitor and troubleshoot pipelines for data quality, reliability and performance
Work with stakeholders to gather requirements and propose data-driven solutions
Integrate data solutions with existing systems and applications
From the employer’s posting
Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects.
Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.
Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
HCL Technologies is hiring
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Azure
- Databricks
- Snowflake
Where the posting names them
Job Summary The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Azure Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance. Key Responsibilities
Key Responsibilities 1. Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects. 2. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.
1. Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects. 2. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements. 3. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
1. Proficiency in snowflake, including data modeling, querying, and performance optimization. 2. Strong experience in azure data factory (adf) for data integration and orchestration. 3. Handson knowledge of data bricks for data engineering, data processing, and machine learning.
Other Requirements 1.Relevant certifications in Snowflake, Azure Data Factory (ADF), DataBricks are a plus.
Skill Requirements 1. Proficiency in snowflake, including data modeling, querying, and performance optimization. 2. Strong experience in azure data factory (adf) for data integration and orchestration.
Your next step
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
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Has HCL Technologies posted this job before?
Yes. We’ve followed 13 other Senior Data Lead - Azure Data Factory (ADF), Databricks (IN) jobs there since November 2026. All 13 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About HCL Technologies
- People
- About 20,206 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as HCLTECH.NS.
- H-1B visas
- 754 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 120 people. The latest was filed March 27, 2026.State WARN notices
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Summary
The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Azure Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance.
Key Responsibilities
1. Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects.
2. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.
3. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
4. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
5. Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
7. Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.
2. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.
3. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
4. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
5. Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
7. Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.
Skill Requirements
1. Proficiency in snowflake, including data modeling, querying, and performance optimization.
2. Strong experience in azure data factory (adf) for data integration and orchestration.
3. Handson knowledge of data bricks for data engineering, data processing, and machine learning.
4. Ability to design, develop, and optimize complex data pipelines for etl processes.
5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
7. Strong leadership skills to guide and motivate technical teams towards project delivery and success.
8. Experience in agile methodologies and project management practices for efficient project execution.
2. Strong experience in azure data factory (adf) for data integration and orchestration.
3. Handson knowledge of data bricks for data engineering, data processing, and machine learning.
4. Ability to design, develop, and optimize complex data pipelines for etl processes.
5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
7. Strong leadership skills to guide and motivate technical teams towards project delivery and success.
8. Experience in agile methodologies and project management practices for efficient project execution.
Other Requirements
1.Relevant certifications in Snowflake, Azure Data Factory (ADF), DataBricks are a plus.
Source details
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- Pay
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- Location & working pattern
India
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