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Azure Data Architect/Engineer

2 months ago


Stamford, Connecticut, United States Smith Arnold Partners Full time
Job Summary

We are seeking a highly experienced Azure Data Architect/Engineer to join our team at Smith Arnold Partners. As a key member of our data architecture and engineering team, you will play a lead role in designing, developing, and implementing new Azure Data Warehouse/Azure Data Lake environments.

Key Responsibilities
  • Design and develop a flexible, enterprise-level environment that integrates multiple warehouses to guarantee precise, comprehensive, consistent, and timely data, using Azure Synapse, DataBricks, and Azure Data Factory.
  • Develop processes that facilitate data transformation, manage data structures, metadata, dependencies, and workload management.
  • Collaborate with business users to understand functional and data requirements, contributing to the enhancement of data models and pipelines.
  • Designing, implementing, and managing data extraction, transformation, and loading (ETL) processes.
  • Deliver Business Intelligence solutions that are 95% defect-free, providing adequate written business requirements, development time, and business test review.
Requirements
  • Bachelor's degree with a minimum of 10 years of related experience.
  • 10+ years of hands-on Data Warehouse architecture and development experience.
  • Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics, or equivalent on another cloud provider such as AWS or Google Cloud.
  • Exhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
  • Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.
  • Strong level of understanding on Azure Data Factory, SQL/Synapse, ADLS, and Azure DevOps.
  • Experience working with data integration techniques & self-service data preparation.
  • Experience in requirements analysis, design, and prototyping.
  • Experienced using Azure Synapse Analytics and DataBricks.
  • Demonstrated expertise in Microsoft SQL Server and/or Azure development.