What are the responsibilities and job description for the Azure Cloud Data Architect with P&C insurance position at Octigo Solutions Inc?
Job Details
Role: Azure Cloud Data Architect with P&C insurance Location: Purchase NY, Morristown NJ, Charlotte NC (Hybrid) CST/EST onl
Responsibilities
Experience in Azure Data Lake Services (ADLS) for reporting needs.
Experience in Azure Databricks and ADF, Azure Synapse and PySpark.
Experience in Azure Data Lake Services (ADLS) for reporting needs.
Experience in Azure Databricks and ADF, Azure Synapse and PySpark.
Job Details:
Overall 12 Years of experience.
Cloud Architect with experience in Azure along with experience in RFP and proposal writing
Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud
Experince in Azure Databricks and ADF, Azure Synapse and PySpark
Participate in pre-sales activities, including RFP and proposal writing
Experience with integration of different data sources with Data Warehouse and Data Lake is required
Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning
Understanding of data modelling and data architecture concepts
To be able to clearly articulate pros and cons of various technologies and platforms
Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage 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 to educate clients and internal teams on cloud techn.
Overall 12 Years of experience.
Cloud Architect with experience in Azure along with experience in RFP and proposal writing
Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud
Experince in Azure Databricks and ADF, Azure Synapse and PySpark
Participate in pre-sales activities, including RFP and proposal writing
Experience with integration of different data sources with Data Warehouse and Data Lake is required
Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning
Understanding of data modelling and data architecture concepts
To be able to clearly articulate pros and cons of various technologies and platforms
Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage 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 to educate clients and internal teams on cloud techn.
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