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Architect, design, and lead the development of end‑to‑end data pipelines on Azure using Databricks (Spark / PySpark) Own the design and evolution of lakehouse architecture using Azure Data Lake Storage (ADLS Gen2) and Delta Lake Build, optimize, and scale batch and streaming pipelines for large‑volume, high‑velocity datasets Design and manage fea...
About the Role
We are looking for a Senior Advanced Data Engineer with 9+ years of experience to architect, build, and scale cloud‑native data and AI platforms on Azure using Databricks. This is a senior, hands‑on technical leadership role requiring deep expertise in data engineering, lakehouse architecture, and AI/ML data pipelines to enable advanced analytics, machine learning, and business intelligence use cases.
The ideal candidate will lead complex, enterprise‑scale data initiatives, work closely with data scientists and ML engineers, and play a critical role in shaping the organization’s data and AI strategy.
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