Senior Data Lead - Azure Data Factory (ADF), Databricks
Job Summary
Description
CPT 260400333
Require a Senior Data Architect for the Data Enablement Factory Area (DEF). DEF is responsible for handling ingestion of Data into UDP which is primarily on the Azure Tech stack
echnical Skills
• Proven expertise in data ingestion and integration architectures across diverse data ecosystems.
• Deep experience in cloud-based architectures and DW/BI/Analytics domain knowledge with experience in Microsoft Azure technologies like ADF, AEH, Databricks and Azure storage.
• Strong understanding of ETL/ELT concepts, streaming, and event-driven pipelines.
• Exposure to data modelling and transformation concepts, primarily to support consistent data structures post-ingestion.
• Expertise in security, authentication, and access control within Azure cloud (Managed Identities, OAuth 2.0, Key Vault integration).
• Experience with message queues and integration technologies such as Kafka, IBM MQ, or Event Hub is preferred.
• Experience defining ingestion SLAs, throughput optimization, and monitoring strategies.
Should be ready to work from office
Key Responsibilities
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
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
Why HCLTech?
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.
Benefits
At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to:
Industry-benchmarked compensation
Best-in-class healthcare benefits
Personal time off
Maternity and paternity benefits
Access to skills / higher education programs/resources
Discounts on products and services via Benefit Box
Participate in CSR programs and live life with a purpose
Opportunities to grow and advance your career
Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.
