Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Azure Data Lead (US)
United States
Actively hiring, first seen by us 22 hours ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 5,157 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingLead and manage end-to-end data engineering projects on Azure and Oracle
Design and develop ETL processes, data models and integration solutions
Provide technical guidance and mentorship to team members
Ensure data quality, governance and security standards are maintained
Troubleshoot and optimize data pipelines for performance and efficiency
From the employer’s posting
Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
Design and develop etl processes, data models, and data integration solutions.
Provide technical guidance and mentorship to the team members.
Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
Troubleshoot and optimize data pipelines and processes for performance and efficiency.
What you’ll bring
All qualificationsCore experience
- Proficiency in Azure Data Factory and Azure Databricks for pipelines
- Strong experience with SQL and Oracle PL/SQL
- Advanced Python skills for scripting and data processing
- Knowledge of data modeling, warehousing and database design
- Strong analytical, problem-solving and communication skills
Qualification wording
Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
Strong experience with sql and oracle pl/sql for data querying and manipulation.
Advanced programming skills in python for scripting and data processing tasks.
Knowledge of data modeling, data warehousing concepts, and database design principles.
Strong analytical and problem-solving skills with attention to detail.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 15, 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
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
From 13,754 similar postings that came down. Coming down is not always a hire.
HCL Technologies is hiring
370 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- PL/SQL
- Python
- SQL
- Azure
- Databricks
- Oracle
Where the posting names them
Job Summary The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. Key Responsibilities
Key Responsibilities 1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python. 2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines. 2. Strong experience with sql and oracle pl/sql for data querying and manipulation. 3. Advanced programming skills in python for scripting and data processing tasks.
Other Requirements 1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.
2. Strong experience with sql and oracle pl/sql for data querying and manipulation. 3. Advanced programming skills in python for scripting and data processing tasks. 4. Knowledge of data modeling, data warehousing concepts, and database design principles.
Skill Requirements 1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines. 2. Strong experience with sql and oracle pl/sql for data querying and manipulation.
Your next step
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
- Images (.jpg) aren’t accepted as a resume.
Already applied? Track this application
Has HCL Technologies posted this job before?
Yes. We’ve followed one other Azure Data Lead (US) job there since November 2026. It is still up.
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 Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices.
Key Responsibilities
1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
3. Design and develop etl processes, data models, and data integration solutions.
4. Provide technical guidance and mentorship to the team members.
5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.
7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.
2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
3. Design and develop etl processes, data models, and data integration solutions.
4. Provide technical guidance and mentorship to the team members.
5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.
7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.
Skill Requirements
1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
2. Strong experience with sql and oracle pl/sql for data querying and manipulation.
3. Advanced programming skills in python for scripting and data processing tasks.
4. Knowledge of data modeling, data warehousing concepts, and database design principles.
5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
6. Strong analytical and problem-solving skills with attention to detail.
7. Experience in data visualization tools and techniques is a plus.
2. Strong experience with sql and oracle pl/sql for data querying and manipulation.
3. Advanced programming skills in python for scripting and data processing tasks.
4. Knowledge of data modeling, data warehousing concepts, and database design principles.
5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
6. Strong analytical and problem-solving skills with attention to detail.
7. Experience in data visualization tools and techniques is a plus.
Other Requirements
1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.