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Job Description

About the Role

We are seeking an experienced Azure Data Architect to design and lead enterprise-level data solutions on Azure. The ideal candidate will have hands-on expertise across Azure Data Factory (ADF), Azure Databricks, Microsoft Fabric, and Medallion / Lakehouse architecture, with a strong understanding of modern data engineering and governance practices.

Key Responsibilities

  • Design and implement end-to-end data architecture on Azure aligned with business and analytical 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 Databricks.
  • Define data modeling standards, metadata management, and data governance best practices.
  • Architect data storage solutions using Azure Data Lake Storage Gen2, Delta Lake, Synapse, and Fabric Lakehouse.
  • Collaborate closely with business stakeholders, analytics teams, and engineering teams to deliver scalable solutions.
  • Drive cost optimization, security, and performance tuning of cloud workloads.
  • Provide architectural guidance and code review for data pipelines and data platform components.

Required Skills & Experience

  • 10+ years overall experience in Data Engineering & 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 Architecture / Lakehouse architecture design patterns
  • Proficiency in SQL, PySpark, and distributed data processing.
  • Solid understanding of data modeling (star schema, dimensional modeling, data vault preferred).
  • Hands-on experience with Azure Data Lake, Azure Synapse Analytics, Power BI integration.
  • Knowledge of data governance, lineage, security, IAM, and Azure DevOps CI/CD.

Nice to Have

  • Experience with Real-time/streaming data (Event Hub / Kafka).
  • Certifications such as:
  • Microsoft Certified: Azure Solutions Architect
  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Lakehouse Architect / Data Engineer

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Job ID: 136401669

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