Qualifications<br>QUALIFICATIONS<br><br>These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. The requirements listed below are representative of the knowledge, skill and/or ability required to perform the position in a satisfactory manner. Individual abilities may result in some deviation from these guidelines.<br><br>• A self-starting team player who possesses a bachelor’s degree in Information Technology, Engineering Technology, Computer Information Technology, or related field<br>• Minimum of 10 years of technical experience directing data analytics teams (Enterprise Data Architecture, Data Analytics, Data Governance, ALM Teams, Release Management, Support Functions) within a hybrid cloud environment<br>• Minimum of 5 years in banking experience<br>• Background in large scale migrations, hybrid cloud, and application modernization projects<br>• Experience with regulated or complex environments<br>• Familiarity with ITIL, Agile, and modern delivery frameworks<br>• Proven experience delivering enterprise Azure solutions in an IT and Business-facing capacity<br>• Strong understanding of core Azure services and architecture patterns across Compute, networking, identity, storage, containers, and automation<br>• Knowledgeable with Infrastructure as code (ARM, Bicep, Terraform), DevOps pipelines, and CI/CD practices<br>• Strong understanding of Gen AI principles (Microsoft CoPilot), large language models (LLM) and their applications in analytics<br>• Strong knowledge of security, governance, identity (Entra ID), and compliance considerations for Azure<br>• Microsoft Cloud certifications<br>• F

Deskside Support, Deployments, Computer Hardware, Backup Technologies, Cisco Technologies, Generative AI, Infrastructure as Code, Microsoft Azure, Snowflake, Microsoft Power BI

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