Design and implement end-to-end data architectures on Azure aligned with business and analytics needs.
Develop and operationalize Medallion / Lakehouse architecture (Bronze Silver Gold layers) using Databricks and Fabric.
Lead data ingestion transformation and orchestration pipelines using Azure Data Factory and Azure Databricks.
Define data modeling standards metadata management principles and data governance best practices.
Architect scalable data storage solutions including Azure Data Lake Storage Gen2 Delta Lake Synapse and Fabric Lakehouse.
Collaborate with business stakeholders analytics teams and engineering teams to deliver scalable high-performing data solutions.
Drive cost optimization security controls and performance tuning for cloud workloads.
Provide architectural guidance and perform code reviews for data pipelines and platform components.
Qualifications :
10 years of experience in Data Engineering and Data Architecture roles.
Strong hands-on expertise in:
Azure Data Factory (ETL/ELT pipelines triggers integration runtime)
Azure Databricks (Spark Delta Lake notebooks cluster management)
Microsoft Fabric (Lakehouse Data Engineering Data Warehouse components)
Medallion / Lakehouse architecture design patterns
Proficiency in SQL PySpark and distributed data processing.
Solid understanding of data modeling techniques (star schema dimensional modeling data vault preferred).
Hands-on experience with Azure Data Lake Azure Synapse Analytics.
Knowledge of data governance data lineage security IAM and Azure DevOps CI/CD.
Remote Work :
No
Employment Type :
Full-time
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