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Mid-level metro role with generalist Platform Engineer title increases applicant density despite Azure specialization.
Strong Azure Databricks and cloud governance requirements limit cross-industry transferability.
Explicit 5–8 year requirement and mandatory Azure Databricks, ADLS, security, and CI/CD expertise make filtering strict.
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Design, implement, and evolve enterprise-scale data and analytics platforms on Azure Databricks, ensuring security, scalability, and compliance with regulatory requirements.
Provide technical leadership on Databricks platform architecture covering workspace design, cluster strategy, data storage, security controls, CI/CD integration, environment management, and platform best practices.
Ensure platform resilience and operational excellence through monitoring, capacity planning, cost optimization, incident management, and root cause analysis across all environments.
5-8 years of relevant work experience in platform engineering with Azure Databricks and related tools.
Deep expertise in Azure Databricks, ADLS Gen2, Azure networking, identity management, and cloud security patterns.
Experience with platform governance and security controls including Entra ID integration, RBAC, network isolation, and private connectivity.
Work Experience Required: 5-8 years
Experienced in leading platform architecture for enterprise-scale data and analytics solutions specifically on Azure cloud ecosystem.
Skilled in integrating and managing complex security and governance frameworks aligned with regulatory and enterprise standards.
Capable of driving operational excellence by implementing monitoring, optimization, and incident management practices that ensure platform reliability and sustainability.