Enterprise Data Architect

Roles and Responsibilities

. Determine Datawarehouse structural requirements by analysing client applications, programs, and operations.
2. Achieve an expert level understanding of Client applications and environments.
3. Work closely with key data consumers (business data analysts, data scientists etc.) to understand needs and challenges and come up with strategy and solutions.
4. Reviewing the DW/Product objectives with Client business teams.
5. Develops Datawarehouse solutions by designing the proposed system.
6. Defining the DW physical structure and functional capabilities, security, back-up, and recovery specifications.

Technical Experience
1. Experience in Data Governance, Data Maintenance, Security, Data Management, Requirements Analysis, Data integration experience with On Prem, hybrid and Cloud models
2. Experience with relational, and/or unstructured data technologies such as SQL Server, Azure Synapse, Azure Data Lake, Cosmos DB etc.
3. Experience with visualization tools such as Power BI.
4. Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines using Azure Databricks is desired.
5. A bachelor’s degree from an accredited college or university with a major in Computer Science, or a related field of study.
6. Excellent Communication and Presentation skills with client handling exposure.