The ideal candidate will have deep expertise in modern data architectures, strong leadership capabilities, and extensive hands-on experience in Azure data services.
Key Responsibilities
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Architect end-to-end Azure data platforms using Azure Data Lake Storage (ADLS), Azure Databricks, and Azure Data Factory
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Design and implement scalable ELT/ETL pipelines and data integration patterns (batch and real-time)
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Define and implement logical and physical data models
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Design Lakehouse architectures using Medallion architecture principles
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Optimize data platform performance, reliability, scalability, and cost efficiency
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Conduct technical design reviews and provide architectural guidance to data engineering teams
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Collaborate with business and technical stakeholders to translate requirements into robust data architecture solutions
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Ensure governance, security, and compliance best practices are implemented
Required Skills & Qualifications
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10+ years of overall experience in data engineering and data architecture
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Strong hands-on experience with:
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Azure Data Lake Storage (ADLS)
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Azure Databricks
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Azure Data Factory
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Deep understanding of modern data platform architecture patterns
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Experience designing real-time and batch data processing solutions
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Strong knowledge of data modeling and data warehousing concepts
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Experience leading technical teams and architecture discussions
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Excellent stakeholder communication skills