Biotech Data Engineer Azure Fabric

Fusemachines is an AI company dedicated to delivering advanced AI products and solutions. They are seeking a Data Engineer with expertise in Microsoft Fabric and the Azure ecosystem to support a data architecture modernization for a key client in the Biotech industry.

Responsibilities:

• Architect and implement the migration of the analytics environment from Azure to Microsoft Fabric
• Integrate GXP manufacturing and quality data streams into the platform to expand capabilities for regulatory compliance
• Implement a robust Data Quality Framework using Python and SQL to identify anomalies and ensure data integrity across the Lakehouse and Warehouse layers
• Fine-tune and scale platform performance, data pipelines, and capacity settings to ensure optimal responsiveness for over 500 Power BI users. Manage and fine-tune Azure/Fabric resources, including Spark Pools, SKUs, and Capacity settings, to ensure high performance during peak times while maintaining cost-efficiency
• Build, maintain, and optimize scalable data integration pipelines using Azure Data Factory, Azure Synapse, and Microsoft Fabric features
• Build and enforce proactive monitoring frameworks utilizing Power BI dashboards and Microsoft Teams notifications for real-time failure alerts
• Leverage Microsoft Fabric tools and AI capabilities, such as Copilot AI, to enhance functionality and operational efficiency
• Work closely with project leadership and key stakeholders to maintain seamless alignment during US business hours

Requirements:

• 5+ years of hands-on data engineering experience with deep expertise in Microsoft Fabric and the broader Azure ecosystem (Azure Synapse, Azure Data Factory, Power BI)
• Advanced SQL (stored procedures, window functions) and Python/PySpark for optimized data processing
• Proven track record of architecting and executing migrations from traditional Azure data architectures to Microsoft Fabric
• Demonstrated experience scaling platform performance to support enterprise user bases
• Experience integrating GXP manufacturing and quality data into cloud platforms to support stringent regulatory data streams within the Biotech / Life Sciences sector
• Strong knowledge of modern ETL/ELT pipeline orchestration, data governance, and data lakehouse architectures
• Deep understanding of SDLC/Agile and Azure DevOps for CI/CD and artifact management
• Knowledge of Azure security best practices (AD, NSG, encryption) and compliance standards
• Full working time overlap with eastern-US-based team hours
• Experience or familiarity with Copilot AI
• Certifications Preferred: Azure Data Engineer Associate, Fabric Data Engineer Associate, and Azure Solutions Architect Expert