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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

6–9 yearsDirect Career PageEst. 20–35 LPA

Posted 19h ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Moderate)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Lead design, development, and deployment of enterprise-scale Azure AI and data solutions following technical architecture and integration standards.

Manage full project lifecycle including estimation, planning, execution, and tracking, ensuring high-quality and timely delivery.

Mentor junior team members and facilitate cross-functional collaboration, including scrum management and status reporting.

6-9 years of relevant consulting, industry, or technology experience.

Hands-on experience with Microsoft Azure platform and end-to-end deployment of Azure BI solutions.

Experience migrating workloads to the cloud and defining highly available, DR solutions in Azure.

Bachelor's or Master's degree in Engineering, MCA, or M.Sc from an accredited university.

Experienced in large-scale Azure data platform services including Azure Data Factory, Databricks, Synapse Analytics, and related technologies.

Proficient in scripting and programming languages such as Python, PowerShell, Bash, PySpark, or Scala to automate and optimize solutions.

Capabilities in cloud strategy definition and agile implementation of Azure-based solutions in consulting or technology environments.