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Metro-based senior BI lead with niche Azure/Databricks skills and moderate employer brand, medium competition.
Core BI engineering skills transfer across industries, but Microsoft Fabric/Azure specificity raises sensitivity to medium.
Explicit 10+ years, mandatory Azure/Databricks and leadership requirements enforce high shortlisting strictness.
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Lead and manage multi-location technical teams supporting Microsoft Fabric, Azure, and associated BI platforms, ensuring performance, capacity, and production support targets are met.
Design, implement, and improve scalable and secure frameworks for Medallion Data Engineering and data orchestration within Microsoft Fabric environments.
Drive process improvements, automation initiatives, and operational excellence while managing stakeholder relationships and team performance.
10+ years of IT experience including minimum 4 years managing SaaS platforms or Azure infrastructure.
Hands-on experience with Microsoft Fabric components (Data Engineering, Lakehouse, Pipelines, Semantic Models), Medallion Architecture, and Azure Synapse Analytics or ADF.
Proficiency in Python, Databricks, Spark SQL/PySpark, SQL, Delta Lake, ADLS Gen2, with experience in data modeling and server/application performance tuning.
Bachelor’s degree in IT (BE, BTech) or equivalent; experience in large enterprise systems and application lifecycle management.
Experienced in leading cross-functional BI engineering and support teams operating in multi-location and multi-technology environments with strong operational and stakeholder management skills.
Strong technical leader with expertise in cloud-native platform modernization, data warehousing concepts, and enterprise system integrations, especially on Azure and Microsoft Fabric.
Capable of designing scalable data engineering frameworks and driving continual process, automation, and performance improvements in complex data platforms.