Enterprise Data Architect

You will be responsible for determining Datawarehouse structural requirements by analysing client applications, programs, and operations. Achieving an expert level understanding of Client applications and environments will be crucial for this role. Working closely with key data consumers (business data analysts, data scientists etc.) to understand needs and challenges and coming up with strategy and solutions will be a part of your responsibilities. Reviewing the DW/Product objectives with Client business teams and developing Datawarehouse solutions by designing the proposed system will also be essential tasks. Defining the DW physical structure and functional capabilities, security, back-up, and recovery specifications will be a key aspect of this role. In terms of technical experience, you should have experience in Data Governance, Data Maintenance, Security, Data Management, Requirements Analysis, and Data integration with On-Prem, hybrid, and Cloud models. Familiarity with relational and/or unstructured data technologies such as SQL Server, Azure Synapse, Azure Data Lake, Cosmos DB etc. will be required. Experience with visualization tools like Power BI is also necessary. Knowledge and experience in designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines using Azure Databricks is desired. A bachelor's degree from an accredited college or university with a major in Computer Science or a related field of study is a prerequisite for this role. Excellent communication and presentation skills with exposure to client handling are also expected.,