Azure Data Architect

  • Category
    IT
  • Location
    Lincoln, Rhode Island
  • Type
    Contract

Description

This customer is a Microsoft Gold Certified Partner that provides services all across the country. They hire people who are professional consultants in addition to being highly competent performers in their specific discipline. As a consultant at you will be working on projects to develop Microsoft technology focused solutions for a variety of clients in industries such as Financial Services, Healthcare, Life Sciences, Manufacturing and Higher Education. Our office is in Lincoln, RI, however our clients are typically located in the Greater Boston and New England area. You will be working in a team environment that consists of and Client members.

 

As an Azure Data Architect, you will join our increasingly growing and exciting Azure Data and Analytics practice. You will be required to apply enterprise principles, standards and practices serving as the conduit for influencing our clients Enterprise Data Architecture’s direction while optimizing solutions for them. You will evaluate business needs and objectives, current and future state and transform into Azure data solutions that meet performance, scalability, reliability, and security needs. You must also provide technical guidance and oversight to development team, mentor those in less senior positions and ensure a consistent state of excellence during and post-delivery of the solution. As an Azure Data Architect, you will be integral to the design, development, and delivery of all modern data solutions on Azure for our clients.

 

Azure Data Architect Candidate Expectations:

  • Architect, Design and deploy architecture to support data transformation, data structures, metadata, dependency and workload management.
  • Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics and more.
  • Provide oversight and guidance to data, BI and ML engineering teams. It is expected that you provide direct experience within these core areas.
  • Experience with one or more languages: Python & Pyspark, T-SQL, SparkR & R, Scala.
  • Experience with code deployment in Azure Databricks environment.
  • Familiarity with DevOps tools like Azure DevOps, Jenkins, Maven etc.
  • Experience working with Azure data platforms, integration techniques & self-service data preparation.
  • Assist business users on functional and data requirements to enhance data models and pipelines.
  • Experience in requirements analysis, design, and prototyping.

 

 

Requirements

Azure Data Architect Basic Qualifications:

  • 8+ years of relevant professional technology experience
  • 5+ years of experience in a programming language like SQL, Python or Scala
  • 5+ years of working experience with SQL Server, data warehousing and data analytics projects
  • 5+ years of experience data engineering in cloud and on-prem environments
  • Experience deploying Azure data solution with Azure Data Factory, Azure Synapse, Data Lake or other Azure data service.
  • Experience architecting and Azure data solution with Azure Data Factory, Azure Synapse, Data Lake or other Azure data service.
  • Experience data engineering Azure Data Factory or Azure Synapse
  • Experience building scalable data platforms
  • Experience with Azure solutions and infrastructure
  • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience

Azure Data Architect Preferred Qualifications:

  • MS Certified: Data Engineering Associate
  • MS Certified: Azure Solutions Architect Expert
  • 3+ years of experience with Azure SQL, Azure Synapse, SQL DW or other Cloud Data Services.
  • 2+ years of experience with version control and DevOps or DataOps.
  • 5+ years programming with SQL, Python, Scala or R.
  • 5+ years developing, deploying, and testing data pipelines in Azure or other cloud provider.
  • 5+ years of data engineering with Hadoop, Spark, Databricks, SSIS or other data integration tool.
  • Master’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience.

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