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Mid-level popular data role and likely metro hiring balanced by specialized Azure/Microsoft Fabric requirements.
Core data engineering skills transfer across industries, but Azure Fabric specialization moderately limits portability.
Explicit 6–10 years plus mandatory Azure, Fabric, PySpark, SQL, and governance requirements create strict filters.
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Lead architecture, design, and optimization of enterprise-scale data pipelines and ETL/ELT solutions using Microsoft Fabric, Azure Data Factory, and PySpark.
Own platform administration and operational excellence for Azure Portal and Azure data services including monitoring, cost, reliability, and security.
Provide technical leadership to design scalable, secure data platforms and enforce data governance, quality, and metadata standards.
6–10 years of progressive experience in Data Engineering with ownership of large-scale data platforms and solution design.
Strong expertise in advanced SQL, Microsoft Fabric, Azure Data Factory, PySpark, and Azure data services operational management.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Work Experience Required: 6–10 years
Experienced in designing and implementing modern cloud data warehousing architectures with dimensional modeling and scalable analytical solutions.
Capable of technical leadership including mentoring, setting engineering standards, and collaborating with cross-functional stakeholders.
Strong operational focus on Azure cloud platform management, performance optimization, and data governance at enterprise scale.