Chief Data Architect

6 hours ago

Ahmedabad, Gujarat, India beBeeDataEngineer Full time US$ 9,00,000 - US$ 12,00,000

Our company provides top-notch IT solutions to businesses worldwide. Our expertise lies in mobile app development, web development, business process outsourcing (BPO), software development, and managed services. We deliver exceptional results tailored to client needs with a focus on affordable, high-quality solutions.

The ideal candidate will have strong experience in Microsoft Fabric and be responsible for building, optimising and maintaining scalable data pipelines and architectures. You will work closely with data analysts and software engineers to ensure reliable data availability and efficient data processing to support data analytics and business decision making.

  • Design, build and maintain scalable data pipelines and transformation processes using Microsoft Fabric components including Data Factory, OneLake, Dataflows and Notebooks.
  • Develop and manage data models and analytics solutions.
  • Develop Extract, Transform and Load (ETL) processes and integrate data from diverse sources (on-cloud and on-premise) into centralised and governed environments using Fabric's capabilities.
  • Ensure data quality, integrity, consistency, security, governance and compliance with industry standards across all storage layers.
  • Monitor performance, optimise data models and cost efficiency of Fabric components.
  • Collaborate with business intelligence developers, data analysts and software developers to support initiatives by understanding business requirements and translate them into technical data solutions.
  • Troubleshoot and resolve data-related issues.
  • Implement best practices for data engineering including coding standards, testing and deployment.
  • Prepare and maintain documentation of data architecture, workflows and configurations.
Required Skills and Qualifications

The successful candidate will possess:

  • Proven experience as a data engineer or in a similar role.
  • Strong proficiency in programming languages such as Python, T-SQL, Power Query and KQL.
  • Strong understanding of Data Factory, data pipelines, Notebooks and Lakehouses within Fabric.
  • Familiarity with Microsoft security and governance frameworks, including Azure Purview and Role-Based Access Control (RBAC).
  • Excellent analytical and problem-solving skills.
  • Exposure to Continuous Integration/Continuous Deployment (CI/CD) practices and tools within Azure DevOps.
  • An understanding of the lifecycle of machine learning models is desirable.
  • Experience with Azure Machine Learning or other cloud-based ML platforms for deploying and managing models is desirable.

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