Team Lead / Solution Architect - (Databricks & Azure Migration)
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Role details
Tech stack
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Job description
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Architecture & Design: Architect, design, and implement end-to-end data migration pipelines from legacy systems to Azure Databricks and Delta Lake. \n
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Technical Leadership: Lead, mentor, and provide technical governance to a team of data engineers, ensuring best practices in PySpark, Spark SQL, and Azure cloud infrastructure. \n
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Migration Strategy: Collaborate with business stakeholders and project managers to convert complex legacy data models into optimized cloud-native formats. \n
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Performance Optimization: Troubleshoot and resolve complex data engineering bottlenecks, including Spark tuning, memory optimization, and data governance frameworks. \n
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Compliance & Governance: Ensure all cloud data architectures meet strict enterprise data security, quality, and compliance standards. \n
Requirements
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Experience: 8-15 years of proven IT experience with a heavy focus on data warehousing, big data, and cloud environments. \n
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Core Core Tech Stack: Advanced expertise in Azure Databricks, Delta Lake, Apache Spark, and cloud data architecture. \n
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Migration Track Record: Hands-on experience architecting and driving legacy-to-cloud data warehouse modernization projects. \n
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Cloud Ecosystem: Deep proficiency with Azure cloud services (ADLS Gen2, Azure Data Factory, Azure DevOps).
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