Azure Data Lead
HCLTech
Azure Data Lead
About this role
Job Summary
We are seeking a seasoned Databricks Tech Lead to design, build, and scale our next-generation data ingestion and processing framework. In this role, you will lead a team of data engineers, champion best practices in software development, and build reusable, highly scalable pipelines to ingest and transform data from diverse enterprise sources into our Lakehouse platform.
Key Responsibilities
Key Responsibilities
- Framework Development: Design and build metadata-driven, generic data ingestion frameworks (batch, streaming, and CDC) to automate the onboarding of new data sources.
- Architecture & Design: Define architectural standards for the Medallion architecture (Bronze, Silver, Gold layers) utilizing Delta Lake.
- Technical Leadership: Lead technical design discussions, mentor junior/mid-level engineers, and conduct rigorous code reviews.
- Pipeline Optimization: Optimize Spark jobs for performance, scalability, and cost reduction across the Databricks platform.
- CI/CD & DevOps: Implement and mature CI/CD pipelines (Git, automated testing) for data platforms and enforce DataOps best practices.
- Governance & Security: Integrate ingestion pipelines with Unity Catalog for enterprise-grade data governance and lineage tracking.
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.
Frequently Asked Questions
Is the salary disclosed for the Azure Data Lead position at HCLTech?
The salary for this Azure Data Lead 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 Azure Data Lead position at HCLTech located?
This Azure Data Lead role at HCLTech is based in Sydney, Australia. 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 Azure Data Lead 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 Azure Data Lead job at HCLTech posted?
This Azure Data Lead position at HCLTech was posted on Jun 24, 2026. Apply as soon as possible — early applications are often reviewed first.
Azure Data Lead
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.