Job Description
The ideal candidate will have extensive experience in building scalable, secure, and high-performance data solutions and leading cross-functional data engineering teams.
Key Responsibilities:
Architect end-to-end Azure data platforms using Azure Data Lake Storage (ADLS), Azure Databricks, and Azure Data Factory.
Design and implement scalable ELT/ETL pipelines and robust data integration patterns supporting both batch and real-time processing.
Define and implement logical and physical data models, including Lakehouse and Medallion architecture frameworks.
Establish best practices for data governance, security, and compliance within Azure environments.
Optimize data platform performance, scalability, reliability, and cost efficiency.
Lead technical architecture discussions, design reviews, and provide technical guidance to data engineering teams.
Collaborate closely with business stakeholders, analysts, and leadership to translate business requirements into scalab...
Key Responsibilities:
Architect end-to-end Azure data platforms using Azure Data Lake Storage (ADLS), Azure Databricks, and Azure Data Factory.
Design and implement scalable ELT/ETL pipelines and robust data integration patterns supporting both batch and real-time processing.
Define and implement logical and physical data models, including Lakehouse and Medallion architecture frameworks.
Establish best practices for data governance, security, and compliance within Azure environments.
Optimize data platform performance, scalability, reliability, and cost efficiency.
Lead technical architecture discussions, design reviews, and provide technical guidance to data engineering teams.
Collaborate closely with business stakeholders, analysts, and leadership to translate business requirements into scalab...
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