Primary Responsibilities

• Design, develop, and implement robust, scalable, and secure data architecture solutions on Microsoft Azure and Microsoft Fabric.
• Build and manage Lakehouse architectures using OneLake and integrate with Power BI in Direct Lake mode for real-time analytics.
• Collaborate with stakeholders across business units to gather requirements and translate them into efficient data models and pipelines.
• Develop and maintain end-to-end data pipelines, ensuring high availability and performance.
• Drive the integration of Microsoft Fabric components such as Data Activator to enable automation and real-time decision-making.
• Oversee the implementation and governance of data models, standards, and best practices across Azure-based data ecosystems.
• Lead Power BI development efforts, integrating reports and dashboards with Microsoft Fabric environments.
• Provide technical leadership and mentorship to junior data engineers and analysts.

Required Qualifications

• Minimum 7 years of experience in Data Architecture, Data Engineering, or Business Intelligence roles.
• At least 2 years of hands-on experience with Microsoft Azure cloud services and data tools.
• Strong hands-on experience with Microsoft Fabric, including:
  • OneLake
  • Lakehouse architecture
  • Power BI Direct Lake mode
  • Data Activator
• Proficient in Power BI development, dashboarding, and integration with Microsoft Fabric.
• Strong understanding of data modeling, ETL/ELT processes, and cloud-based data warehousing.
• Familiarity with data governance, security, and compliance best practices in a cloud environment.
• Excellent problem-solving, communication, and collaboration skills.

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