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Azure Senior Data Technical Specialist (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAs a Senior Databricks Engineer (E3.2), you will take end-to-end ownership of designing and delivering advanced data engineering solutions on Azure.
Design and implement enterprise-grade data solutions on Azure Databricks
Architect and optimize end-to-end data pipelines using ADF, Databricks and Synapse
Lead data ingestion, transformation and integration across multiple sources
Provide technical leadership and guidance to junior engineers and project teams
Implement CI/CD pipelines and governance using Azure DevOps
From the employer’s posting
As a Senior Databricks Engineer (E3.2), you will take end-to-end ownership of designing and delivering advanced data engineering solutions on Azure. You will play a key role in architecting scalable data pipelines, leading technical discussions, and driving best practices across projects while working closely with business stakeholders and cross-functional teams.
Lead the design and implementation of enterprise-grade data solutions using Azure Databricks
Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse
Drive data ingestion, transformation, and integration strategies across multiple data sources
Provide technical leadership and guidance to junior engineers and project teams
Implement CI/CD pipelines and governance using Azure DevOps
What you’ll bring
All qualificationsCore experience
- Advanced Azure Databricks implementation and optimization
- Azure Data Factory complex pipeline orchestration
- Advanced SQL and relational databases
- Hands-on Python and Spark (PySpark preferred)
- Bachelor's degree in Computer Science, IT or related field
Preferred experience
- Experience working in client-facing or consulting roles
- Bachelor’s degree in Computer Science / IT / related field
- Python & Spark → Hands-on implementation (Rating: 3+)
- Knowledge of real-time/streaming data processing (Kafka/Event Hub)
Qualification wording
Azure Databricks (advanced implementation & optimization)
Azure Data Factory (complex pipeline orchestration)
Advanced proficiency in SQL and relational databases
Hands-on experience with Python and Spark (PySpark preferred)
Bachelor’s degree in Computer Science / IT / related field
Experience working in client-facing or consulting roles
Python & Spark → Hands-on implementation (Rating: 3+)
Knowledge of real-time/streaming data processing (Kafka/Event Hub)
Education & alternatives
Educational Qualification - Bachelor’s degree in Computer Science / IT / related field Other Requirements
About HCL Technologies
HCLTech is a global technology company delivering industry-leading digital, engineering, and cloud solutions.
In the employer’s words · Read in context
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.
- Python
- SQL
- Azure
- Databricks
- Kafka
- Spark
- PySpark
Where the posting names them
- Strong experience in performance tuning and large-scale data processing - Hands-on experience with Python and Spark (PySpark preferred) - Experience in solution design and architecture discussions
- DevOps & Storage → Strong working knowledge (Rating: 3+) - Python & Spark → Hands-on implementation (Rating: 3+) - Client handling & architecture → Ownership-driven capability
- Client handling & architecture → Ownership-driven capability 1.Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.
- Deep understanding of ETL/ELT frameworks and data modeling concepts - Advanced proficiency in SQL and relational databases - Strong experience in performance tuning and large-scale data processing
Skill Evaluation Matrix (E3.2 Expectations) - Databricks, ADF, Synapse, ETL, SQL → Advanced expertise (Rating: 4+) - DevOps & Storage → Strong working knowledge (Rating: 3+)
Role Overview As a Senior Databricks Engineer (E3.2), you will take end-to-end ownership of designing and delivering advanced data engineering solutions on Azure. You will play a key role in architecting scalable data pipelines, leading technical discussions, and driving best practices across projects while working closely with business stakeholders and cross-functional teams. Key Responsibilities
Key Responsibilities - Lead the design and implementation of enterprise-grade data solutions using Azure Databricks - Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse
- Engage with stakeholders to understand business needs and translate them into scalable solutions - Optimize performance, cost, and reliability of Azure data platforms - Implement CI/CD pipelines and governance using Azure DevOps
- Optimize performance, cost, and reliability of Azure data platforms - Implement CI/CD pipelines and governance using Azure DevOps - Ensure adherence to data quality, security, and compliance standards
Mandatory Skills - Strong expertise in Azure Data Engineering ecosystem: - Azure Databricks (advanced implementation & optimization)
- Strong expertise in Azure Data Engineering ecosystem: - Azure Databricks (advanced implementation & optimization) - Azure Data Factory (complex pipeline orchestration)
- Azure Databricks (advanced implementation & optimization) - Azure Data Factory (complex pipeline orchestration) - Azure Synapse Analytics
- Azure Data Factory (complex pipeline orchestration) - Azure Synapse Analytics - Azure Storage / Data Lake (ADLS Gen2)
- Azure Synapse Analytics - Azure Storage / Data Lake (ADLS Gen2) - Azure DevOps (CI/CD pipelines)
- Azure Storage / Data Lake (ADLS Gen2) - Azure DevOps (CI/CD pipelines) - Deep understanding of ETL/ELT frameworks and data modeling concepts
- Familiarity with Agile / Scrum methodologies - Certification in Azure Data Engineering or Databricks is a plus Educational Qualification
Job Summary Job Title: Senior Databricks Engineer (E3.2 Band) About HCLTech
- Lead the design and implementation of enterprise-grade data solutions using Azure Databricks - Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse - Drive data ingestion, transformation, and integration strategies across multiple data sources
- Exposure to data governance, security, and compliance frameworks - Knowledge of real-time/streaming data processing (Kafka/Event Hub) - Familiarity with Agile / Scrum methodologies
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 11 other Azure Senior Data Technical Specialist (IN) jobs there since November 2026. All 11 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
Job Title: Senior Databricks Engineer (E3.2 Band)
About HCLTech
HCLTech is a global technology company delivering industry-leading digital, engineering, and cloud solutions. With a strong focus on innovation and customer success, HCLTech enables enterprises to transform through scalable, data-driven platforms.
Role Overview
As a Senior Databricks Engineer (E3.2), you will take end-to-end ownership of designing and delivering advanced data engineering solutions on Azure. You will play a key role in architecting scalable data pipelines, leading technical discussions, and driving best practices across projects while working closely with business stakeholders and cross-functional teams.
Key Responsibilities
Key Responsibilities
- Lead the design and implementation of enterprise-grade data solutions using Azure Databricks
- Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse
- Drive data ingestion, transformation, and integration strategies across multiple data sources
- Provide technical leadership and guidance to junior engineers and project teams
- Engage with stakeholders to understand business needs and translate them into scalable solutions
- Optimize performance, cost, and reliability of Azure data platforms
- Implement CI/CD pipelines and governance using Azure DevOps
- Ensure adherence to data quality, security, and compliance standards
- Contribute to solution architecture, design reviews, and technical decision-making
Skill Requirements
Mandatory Skills
- Strong expertise in Azure Data Engineering ecosystem:
- Azure Databricks (advanced implementation & optimization)
- Azure Data Factory (complex pipeline orchestration)
- Azure Synapse Analytics
- Azure Storage / Data Lake (ADLS Gen2)
- Azure DevOps (CI/CD pipelines)
- Deep understanding of ETL/ELT frameworks and data modeling concepts
- Advanced proficiency in SQL and relational databases
- Strong experience in performance tuning and large-scale data processing
- Hands-on experience with Python and Spark (PySpark preferred)
- Experience in solution design and architecture discussions
Preferred Skills
- Experience working in client-facing or consulting roles
- Exposure to data governance, security, and compliance frameworks
- Knowledge of real-time/streaming data processing (Kafka/Event Hub)
- Familiarity with Agile / Scrum methodologies
- Certification in Azure Data Engineering or Databricks is a plus
Educational Qualification
- Bachelor’s degree in Computer Science / IT / related field
Other Requirements
Skill Evaluation Matrix (E3.2 Expectations)
- Databricks, ADF, Synapse, ETL, SQL → Advanced expertise (Rating: 4+)
- DevOps & Storage → Strong working knowledge (Rating: 3+)
- Python & Spark → Hands-on implementation (Rating: 3+)
- Client handling & architecture → Ownership-driven capability
1.Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.
Source details
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- Location & working pattern
India
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