The Dignify Solutions, LLC
Azure Cloud Data Architect - Purchase NY, Morristown NJ, Charlotte NC (Hybrid)
The Dignify Solutions, LLC, Charlotte, North Carolina, United States, 28245
Azure Cloud Data Architect - Purchase NY, Morristown NJ, Charlotte NC (Hybrid)
Senior Data Platform Architect with expertise in Azure, AWS, and data integration for P&C Insurance domain.
Responsibilities
P&C Insurance domain experience is mandatory.
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.
Experience 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 technologies.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
Industries IT Services and IT Consulting
#J-18808-Ljbffr
Responsibilities
P&C Insurance domain experience is mandatory.
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.
Experience 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 technologies.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
Industries IT Services and IT Consulting
#J-18808-Ljbffr