
Senior Cloud Architectural Specialist
3 days ago
A highly skilled Lead Azure Data Engineer is required to design, develop, and optimize data pipelines using Azure and Databricks.
This senior technical role demands extreme hands-on experience, technical strength in Azure and Databricks, and the ability to deliver high-quality solutions quickly and precisely.
- We need you to work hand-in-hand with Databricks Asset Bundles (DABs) for CI/CD and environment management.
- You will be responsible for building and managing scalable ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services.
The ideal candidate must be a hands-on problem solver who ensures efficiency in their own work while helping the wider team become more productive and technically stronger.
Key Responsibilities:
- Develop robust data pipelines on Azure and Databricks.
- Implement efficient ETL/ELT workflows using Databricks, Delta Lake, ADF, and other Azure services.
- Mentor team members to improve overall team productivity and technical capability.
Required Skills & Experience:
- 8+ years in Data Engineering with at least 5 years hands-on in Azure & Databricks.
- Strong expertise in Azure Data Services (ADF, Azure Synapse), Databricks, Python, SQL, Spark.
- Knowledge of modern data architectures, such as Lakehouse governance.
Benefits:
- Focused on speeding up both personal and team delivery.
- Strong communicator within the team, able to share knowledge and mentor effectively.
- Highly motivated, proactive, and results-oriented.
Preferred Skills:
- Experience with AI-driven development tools to accelerate coding, improve productivity, and maintain high-quality implementations.
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