The Dignify Solutions, LLC · 1 month ago
Azure Cloud Data Architect - Purchase NY, Morristown NJ, Charlotte NC (Hybrid)
Purchase, NY
Full-time
Hybrid
Senior Level, Lead/Staff
12+ years expThe Dignify Solutions, LLC is seeking an Azure Cloud Data Architect. The role involves designing and implementing secure and scalable cloud-based solutions while participating in pre-sales activities and integrating various data sources.
Bookkeeping and PayrollHuman ResourcesRecruitingStaffing AgencyTraining
Responsibilities
Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud
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
Qualification
Required
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
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
Company
The Dignify Solutions, LLC
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase