Azure Data Architect
Listed on 2026-09-09
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IT/Tech
Data Engineering, Data Warehousing, Azure, Cloud Computing: Infrastructure & Operations
As an Azure Data Architect, you will design and implement modern data architecture on Azure, including data lakes, data warehouses, and analytics solutions. You will lead technical implementation of data pipelines and modeling layers using Azure services, Databricks, and dbt. This requires deep Azure expertise and experience leading cloud data warehouse migrations.
Key Responsibilities:
- Design and implement end-to-end modern data architecture on Azure.
- Lead development of data pipelines and modeling layers using Azure services, Databricks, and dbt.
- Develop and maintain scalable data models.
- Drive strategy for cloud data platform, ensuring security, governance, and cost-effectiveness.
- Plan and execute migration of on-premise data warehouses to Azure.
- Collaborate with data engineers, analysts, and stakeholders.
- Mentor junior team members.
Required
Skills and Experience:
- 10+ years in data engineering/architecture, with 4+ years as a senior/architect focused on cloud solutions.
- Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics.
- Expert-level ability with Databricks for large-scale data processing and analytics.
- Strong experience using dbt for data transformation and modeling.
- Solid understanding of data warehousing principles.
- Experience using IaC tools like Terraform or ARM templates.
As an Azure Data Architect, you will design and implement modern data architecture on Azure, including data lakes, data warehouses, and analytics solutions. You will lead technical implementation of data pipelines and modeling layers using Azure services, Databricks, and dbt. This requires deep Azure expertise and experience leading cloud data warehouse migrations.
Key Responsibilities:
- Design and implement end-to-end modern data architecture on Azure.
- Lead development of data pipelines and modeling layers using Azure services, Databricks, and dbt.
- Develop and maintain scalable data models.
- Drive strategy for cloud data platform, ensuring security, governance, and cost-effectiveness.
- Plan and execute migration of on-premise data warehouses to Azure.
- Collaborate with data engineers, analysts, and stakeholders.
- Mentor junior team members.
Required
Skills and Experience:
- 10+ years in data engineering/architecture, with 4+ years as a senior/architect focused on cloud solutions.
- Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics.
- Expert-level ability with Databricks for large-scale data processing and analytics.
- Strong experience using dbt for data transformation and modeling.
- Solid understanding of data warehousing principles.
- Experience using IaC tools like Terraform or ARM templates.
Please note:
F1 OPT candidates are not eligible for this role
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