Chief Architect

2 weeks ago


Vijayawada, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Lead Azure Data Engineer

We are seeking an experienced and skilled Lead Azure Data Engineer to join our team.

This is a senior 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.

  • 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.
Requirements:
  • 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 (ADF, Azure Synapse, Azure Data Lake, Azure SQL), Python, SQL, Spark.
  • Strong knowledge of modern data architectures (Lakehouse, governance).
Benefits:
  • Highly motivated, proactive, and results-oriented.
  • Ability to work in a fast-paced environment with quick turnarounds.
  • Team-first approach – drives collective improvement and efficiency.
Preferred Skills:
  • Experience with AI-driven development to accelerate coding, improve productivity, and maintain high-quality implementations.
Work Arrangements:
  • Must have 5–6 hours daily overlap with USA team for collaboration.
About the Role:

The successful candidate will have a proven track record of efficient delivery and helping teams accelerate execution.


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