Job Description

Key Responsibilities

  • Design, develop, and implement robust, scalable, and secure data architectures on Azure
  • Analyze system behavior under load, identify performance bottlenecks, and define optimization strategies
  • Provide architectural guidance on database design, caching mechanisms, and system scalability
  • Design and maintain scalable batch and streaming data processing frameworks
  • Lead performance tuning initiatives across Spark, Databricks, and database layers
  • Integrate Salesforce solutions with enterprise data platforms to meet business requirements
  • Develop automation and data processing solutions using Python
  • Collaborate with development, operations, and security teams to ensure compliant and efficient cloud architectures
  • Monitor system performance, pipeline health, and latency metrics
  • Lead and manage a team of 6–8 data engineers, providing technical mentorship and delivery oversig...

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