The Dignify Solutions, LLC
Azure Cloud Architect with P&C Experience - Hybrid
The Dignify Solutions, LLC, Convent Station, New Jersey, us, 07961
Azure Cloud Architect with P&C Experience - Hybrid
4 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Locations: Purchase NY, Morristown NJ, Charlotte NC Overall 12+ Years of experience. Cloud Architect with experience in Azure, RFP, and proposal writing. Need P&C Experience. Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions with estimation on AWS and Azure Cloud. Experience in Azure Databricks, ADF, Azure Synapse, and PySpark. Participate in pre-sales activities, including RFP and proposal writing. Experience with integrating different data sources with Data Warehouse and Data Lake. Experience in creating Data warehouses and data lakes for Reporting, AI, and Machine Learning. Understanding of data modeling and data architecture concepts. Ability to articulate pros and cons of various technologies and platforms. Collaborate with clients to understand their business requirements and translate them into technical solutions leveraging AWS and Azure cloud platforms. Define and implement cloud governance and best practices. Identify and implement automation opportunities to increase operational efficiency. Conduct knowledge sharing and training sessions on cloud technologies. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting
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4 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Locations: Purchase NY, Morristown NJ, Charlotte NC Overall 12+ Years of experience. Cloud Architect with experience in Azure, RFP, and proposal writing. Need P&C Experience. Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions with estimation on AWS and Azure Cloud. Experience in Azure Databricks, ADF, Azure Synapse, and PySpark. Participate in pre-sales activities, including RFP and proposal writing. Experience with integrating different data sources with Data Warehouse and Data Lake. Experience in creating Data warehouses and data lakes for Reporting, AI, and Machine Learning. Understanding of data modeling and data architecture concepts. Ability to articulate pros and cons of various technologies and platforms. Collaborate with clients to understand their business requirements and translate them into technical solutions leveraging AWS and Azure cloud platforms. Define and implement cloud governance and best practices. Identify and implement automation opportunities to increase operational efficiency. Conduct knowledge sharing and training sessions on cloud technologies. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting
#J-18808-Ljbffr