
Chief Data Architect
1 day ago
Immediate hiring for a highly skilled and experienced lead data engineer to join our team.
We're looking for a senior technical expert with deep hands-on expertise in Azure and Databricks. This is a critical role with high expectations. The consultant must be extremely hands-on, technically strong in Azure and Databricks, and capable of delivering high-quality solutions with speed and precision.
- Design, develop, and optimize data pipelines using Azure and Databricks.
- Hands-on work with Databricks Asset Bundles (DABs) for CI/CD and environment management.
- Build and manage scalable ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services.
- Continuously adopt and apply new Databricks features to accelerate delivery.
- Optimize Spark, SQL, and Python code for performance and scalability.
- Apply software engineering best practices to ensure a robust, maintainable, and strategic data ecosystem.
- Mentor team members to improve overall team productivity and technical capability.
- 8+ years in data engineering with at least 5 years hands-on experience in Azure & Databricks.
- Strong expertise in:
- Databricks (Delta Lake, Databricks SQL, Workflows, Databricks Asset Bundles, MLflow basics)
- Azure Data Services (ADF, Azure Synapse)
- Python, SQL, Spark
- Strong knowledge of modern data architectures.
- Track record of efficient delivery and helping teams accelerate execution.
- Experience with AI-driven development to accelerate coding and maintain high-quality implementations.
- Exposure to Generative AI in Databricks – good to have.
- Must have 5–6 hours daily overlap with the USA team for collaboration.
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