
Senior Azure Data Architect
1 week ago
This is a highly skilled technical role with high expectations. The ideal candidate must be extremely hands-on, technically strong in Azure and Databricks, and capable of delivering high-quality solutions with speed and precision.
The consultant will design, develop, and optimize data pipelines using Azure and Databricks, ensuring efficiency in their own work while also helping the wider team become more productive and technically stronger.
- Design scalable ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services.
- Apply software engineering best practices to ensure a robust, maintainable, and strategic data ecosystem.
The following skills and qualifications are required:
- 8+ years in Data Engineering with at least 5 years hands-on in Azure & Databricks.
- Strong expertise in Databricks (Delta Lake, Databricks SQL, Workflows, Databricks Asset Bundles, MLflow basics), Azure Data Services, Python, SQL, Spark, and modern data architectures.
- Track record of efficient delivery and helping teams accelerate execution.
The ideal candidate should have:
- An efficiency-driven mindset – focused on speeding up both personal and team delivery.
- Strong communication skills within the team, able to share knowledge and mentor effectively.
The following skills are preferred:
- Experience with AI-driven development tools to accelerate coding, improve productivity, and maintain high-quality implementations.
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