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Azure Data Architect

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Summary

Azure Data Architect building data warehouses, data pipelines, and Azure ML model execution pipelines in Azure for a Fortune 500 automotive components client. Day-to-day is hands-on architecture and coding in an Agile team, centered on Azure data services, Python, SQL, and ETL/ELT including SAP migrations via Theobald.

About the client:

The client is an American automotive components original equipment manufacturer and an aftermarket ride control and emissions products manufacturer. It is a Fortune 500 company.

Essential Functions

  • Design and develop data warehouses and data pipelines within Azure
  • Design and develop Azure ML model execution pipelines
  • Evangelize engineering design and development standards
  • Act as a key contributor to the design and development lifecycle of analytic applications.
  • Participate in Agile ceremonies including daily stand-ups, sprint planning, retrospectives, and product demonstrations
  • Produce efficient and elegant code that meets business requirements
  • Author unit tests that adhere to code coverage guidelines
  • Proactively communicate progress, issues, and risks to stakeholders
  • Accurately estimate assignments
  • Create and maintain technical documentation
  • Mentor less experienced engineers
  • Contribute to the growth and maturity of the Software Engineering Group
  • Performs other related duties as directed

Required Skills & Competencies

  • 7 years of hands-on experience designing and implementing large-scale distributed data architecture for BI and OLTP systems
  • 7 years of hands-on experience designing and implementing large-scale data pipelines
  • 4 years of hands-on experience in Azure data services
  • 4 years of hands-on experience with data integration using ETL / ELT tools
  • Experience doing data migrations from SAP into Azure Datalakes using Theobald.
  • 4 years of hands-on experience with Python including object-oriented programming and unit testing
  • Advanced experience with one or more Python parallel processing libraries
  • Advanced experience with one or more Python data analysis libraries
  • Advanced data modeling experience
  • Broad experience in Microsoft SQL technologies
  • Broad multi-tenant data architecture and implementation experience across different data stores, messaging systems and data processing engines
  • Experience with data integration through APIs, Web Services, SOAP, and/or REST services
  • Experience using Azure DevOps and CI/CD as well as Agile tools and processes including Git, Jenkins, Jira, and Confluence
  • Knowledge of SOA and Micros Services Application Architecture
  • Ability to work in a fast-paced, collaborative team environment
  • Excellent written and verbal communication skills and ability to express ideas clearly and concisely.
  • Previous experience in Supply Chain related projects.

Desired Attributes

  • Strong team player with ability to collaborate with all levels of the organization
  • Possess a drive towards forward progress and delivering results while taking responsibility
  • Multi-tasker with ability to set and manage priorities
  • Proactively and transparently communicate challenges and successes to product leadership
  • Exhibit attention to detail
  • Flexibility and willingness to help in other areas as priorities shift
  • Ability to effectively operate with minimal supervision, but knowing how to keep leadership in the loop

Education or Prior Work Experience

  • Bachelor's degree in CS or related field, master's degree preferred
  • 7+ years of experience with designing and developing complex data architecture solutions
  • 4+ years of design and development experience with Microsoft Azure data architecture and related solutions
  • 4 years of hands-on experience with Python

Skills

See also

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