Axiom Software Solutions Limited
Databricks & Azure Data Platform Principal Engineer
Axiom Software Solutions Limited, Warren, Michigan, United States, 48091
Overview
A senior technical expert responsible for designing, building, and optimizing data solutions using Databricks and Azure Data technologies. This principal engineer oversees the architecture, integration, design, development and deployment of reusable patterns and solutions ensuring that they are scalable, secure and efficient. Also responsible for managing the platform effectively with automation and leveraging emerging capabilities in the marketplace. It requires proven experience of working with developers, analysts, and data scientists to implement data pipelines, real-time analytics and machine learning models. This engineer ensures modern best practices are developed and adhered to in a cloud data ecosystem for data governance, data architecture and DataOps, while providing guidance on performance tuning, cost optimization and system reliability. Responsibilities
Design, build, and optimize data solutions using Databricks and Azure Data technologies. Oversee architecture, integration, design, development and deployment of reusable patterns and solutions that are scalable, secure, and efficient. Automate platform management and leverage emerging capabilities in the marketplace. Collaborate with developers, analysts, and data scientists to implement data pipelines, real-time analytics, and machine learning models. Establish and promote modern best practices in a cloud data ecosystem for data governance, data architecture and DataOps. Provide guidance on performance tuning, cost optimization, and system reliability. Onboarding Process
Selected Candidate must be willing to go to the closest Capgemini / Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment. If the candidate is not local, Capgemini will pay the expenses.
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A senior technical expert responsible for designing, building, and optimizing data solutions using Databricks and Azure Data technologies. This principal engineer oversees the architecture, integration, design, development and deployment of reusable patterns and solutions ensuring that they are scalable, secure and efficient. Also responsible for managing the platform effectively with automation and leveraging emerging capabilities in the marketplace. It requires proven experience of working with developers, analysts, and data scientists to implement data pipelines, real-time analytics and machine learning models. This engineer ensures modern best practices are developed and adhered to in a cloud data ecosystem for data governance, data architecture and DataOps, while providing guidance on performance tuning, cost optimization and system reliability. Responsibilities
Design, build, and optimize data solutions using Databricks and Azure Data technologies. Oversee architecture, integration, design, development and deployment of reusable patterns and solutions that are scalable, secure, and efficient. Automate platform management and leverage emerging capabilities in the marketplace. Collaborate with developers, analysts, and data scientists to implement data pipelines, real-time analytics, and machine learning models. Establish and promote modern best practices in a cloud data ecosystem for data governance, data architecture and DataOps. Provide guidance on performance tuning, cost optimization, and system reliability. Onboarding Process
Selected Candidate must be willing to go to the closest Capgemini / Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment. If the candidate is not local, Capgemini will pay the expenses.
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