Azure Data Architect/Lead

Role Overview: As a Cloud Architect with expertise in Azure and Snowflake, you will be responsible for designing and implementing secure, scalable, and highly available cloud-based solutions on AWS and Azure Cloud. Your role will involve utilizing your experience in Azure Databricks, ADF, Azure Synapse, PySpark, and Snowflake Services. Additionally, you will participate in pre-sales activities, including RFP and proposal writing. Key Responsibilities: - Utilize experience in Azure Databricks, ADF, Azure Synapse, PySpark, and Snowflake Services to design and implement secure, scalable, and highly available cloud-based solutions on AWS and Azure Cloud. - Integrate various data sources with Data Warehouse and Data Lake for Reporting, AI, and Machine Learning purposes. - Create Data warehouses and data lakes while having a solid understanding of data modelling and data architecture concepts. - Collaborate with clients to understand their business requirements and translate them into technical solutions leveraging Snowflake and Azure cloud platforms. - Clearly articulate the advantages and disadvantages of different technologies and platforms. - Participate in Proposal and Capability presentations. - Define and implement cloud governance and best practices. - Identify and implement automation opportunities for increased operational efficiency. - Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies. Qualifications Required: - Expertise in Azure and Snowflake. - Experience with Azure Databricks, ADF, Azure Synapse, PySpark, and Snowflake Services. - Strong understanding of data modelling and data architecture concepts. - Ability to integrate various data sources with Data Warehouse and Data Lake. - Excellent communication skills to collaborate with clients and articulate technical solutions effectively.,