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Tier-1 employer but senior, niche Azure/Databricks/Snowflake platform role reduces broad applicant competition.
Core cloud and data-platform skills are transferable, but healthcare governance and platform experience increase industry sensitivity.
Extensive mandatory Azure Databricks, Snowflake, IaC and leadership requirements make screening highly selective.
Design and govern enterprise-scale Azure-based data and AI/ML cloud platforms ensuring scalability, security, reliability, and operational excellence.
Lead modernization and migration initiatives from on-premises to Azure cloud environments.
Architect and implement solutions using Azure Databricks, Azure Data Factory, Snowflake, Azure Web Applications, and GitHub Actions/DevOps including CI/CD pipelines and infrastructure as code.
Technical leadership experience directing engineering teams and mentoring developers, data engineers, and ML engineers.
Hands-on expertise in Azure Databricks, Azure Data Factory, Snowflake, Azure Web Applications, GitHub Actions/DevOps, and Terraform.
Experience driving architecture reviews, setting engineering standards, and collaborating with stakeholders and executive leadership.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced Azure Platform Architect with deep knowledge of cloud data platform design and AI/ML engineering solutions.
Proven ability to lead cross-functional teams and manage enterprise-scale cloud modernization and migration programs.
Strong background in implementing cloud governance, performance optimization, security, and cost control in complex environments.