Senior Data Architect for Cloud-Based Solutions

1 week ago

Tiruchi, Tamil Nadu, India beBeeAzure Full time ₹ 1,50,00,000 - ₹ 2,01,25,000

Experience a highly motivated and experienced Lead Azure Data Engineer to drive our team's growth.

We are a leading software company specializing in Artificial Intelligence, Machine Learning, Data Analytics, Innovative data solutions, Cloud-based technologies.

Overview

Our ideal candidate is a hands-on problem solver who ensures efficiency in their own work while also helping the wider team become more productive and technically stronger.

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.

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

  • Ability to work in a fast-paced environment with quick turnarounds.
  • Team-first approach – drives collective improvement and efficiency.
  • Must have 5–6 hours daily overlap with USA team (EST time zone) for collaboration.

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