Senior Cloud Data Architect

6 days ago


Jodhpur, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead Azure Data Engineer

We are seeking a highly skilled Lead Data Engineer with deep hands-on expertise in Azure and Databricks. This is a senior technical role with high expectations.

The ideal candidate should be extremely hands-on, technically strong in Azure and Databricks, and capable of delivering high-quality solutions with speed and precision.

  • Key Responsibilities:
  • 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 (e.g., TDD, CI/CD, modular design, code reviews) to ensure a robust, maintainable, and strategic data ecosystem.
  • Mentor team members to improve overall team productivity and technical capability.
  • Deliver in a fast-paced environment with quick turnaround expectations.

Required Skills & Experience:

  • 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, unity catalog)
  • Azure Data Services (ADF, Azure Synapse, Azure Data Lake, Azure SQL)
  • Python, SQL, Spark (with proven performance optimization skills)
  • Strong knowledge of modern data architectures (Lakehouse, governance).
  • Track record of efficient delivery and helping teams accelerate execution.

Benefits:

  • Opportunity to work on cutting-edge projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Requirements:

  1. Must have 5–6 hours daily overlap with USA team (EST time zone) for collaboration.
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