Azure Data Architect--Atlanta GA

Role: Azure Data Architect

Location: Atlanta, GA

Duration: 6 Months

Required skills:
Overall 12 years of IT Experience & minimum 2 years as an Azure Data Architect
Strong expertise in all aspects of Azure services with a focus on data engineering & BI reporting.
Proficiency in Azure Data Factory (ADF), Azure Databricks (ADB), SQL, NoSQL, PySpark, Power BI and other Azure data tools.
Experience in data modelling, data warehousing, and business intelligence concepts.
Proven track record of designing and implementing scalable and robust data solutions.
Excellent communication skills with strong teamwork, analytical and troubleshooting skills, and attentiveness to detail.
Self-starter, ability to work independently and within a team.

Job description:
Strong knowledge and experience in Azure and Azure Functions, Event Grid, Event Bus, Event Hub, with Event driven architecture experience in Java/Node
Experience in technical leadership in architecture, design, and engineering in the modernization of legacy Data Ingestion
Experience in defining technical direction and roadmap for Cloud migrations and managing the implementation and big data technical solutions.
Designing, implementing, and managing our Azure cloud infrastructure
Experience in designing, development, or maintenance of a big data application.
Produce solutions that are models of performance, scalability, and extensibility.
Can create proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
Design and implement end-to-end Azure data solutions, including data ingestion, storage, processing, and visualization.
Architect data platforms using Azure services such as Azure Data Factory (ADF), Azure Databricks (ADB), Azure SQL Database, and PySpark.
Develop and maintain data pipelines for efficient data movement and transformation.
Design data models and schemas to support business requirements and analytical insights.
Collaborate with stakeholders to understand business needs and translate them into technical solutions.
Provide technical leadership and guidance to the data engineering team.

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