Azure Data Platform Architect
VDart Inc
Job Title: Azure Data Platform Architect
Mode: Dallas, TX 75206 HYBRD 3 DAYS
Duration: 6 month, CTH
The Azure Data Platform Architect is responsible for designing, building, and scaling the organization's Azure-based cloud and data ecosystem. This role owns the end-to-end Azure architecture -from core cloud foundations through data platforms, analytics, and BI-supporting the organization's transition from on-premise systems to a modern Azure-first architecture.
Key Responsibilities
Azure Cloud & Platform Architecture
• Architect and design Azure-first cloud environments , including landing zones, identity, security, networking, storage, and governance foundations
• Lead on-prem to Azure migration strategy , including workload assessment, platform design, and phased modernization
• Define architectural standards for deploying, scaling, and securing workloads across cloud and hybrid environments
• Provide technical leadership on Azure services spanning infrastructure, data, integration, and analytics
Data Platform & Analytics Architecture
• Design and build enterprise data platforms across Azure services, including lakehouse, warehouse, and analytics layers
• Define standards for data ingestion, transformation, storage, and access using Azure-native and cloud-based services
• Establish architectural patterns for batch, streaming, and API-based integration
• Develop a long-term roadmap for lakehouse, warehouse, and semantic models , with emphasis on scalability and performance
• Architect and support Microsoft Fabric / Fabric Connect and related Azure analytics services as part of the reporting ecosystem
• Enable enterprise reporting and BI platforms (e.g., Power BI), while downstream analysts execute and manage reports
Governance, Security & Scalability
• Ensure platform architecture aligns with governance, security, regulatory, and compliance requirements (e.g., NERC/FERC preferred but not required)
• Embed security, access control, metadata, and lineage capabilities into Azure and data platform designs
• Partner with governance and data engineering teams to operationalize architectural standards and best practices
Future-State Data Architecture (as the platform matures)
• Contribute to the long-term vision for data domains and master data architecture , recognizing this as a later-phase capability
• Define integration patterns between source systems, analytics platforms, and future data management solutions
Qualifications
Required
• 5+ years of experience in Azure architecture, cloud architecture, or senior data engineering roles with strong Azure ownership
• Hands-on experience designing and building Azure cloud environments , not just consuming existing ones
• Strong understanding of Azure-native data and analytics services and modern data architecture patterns
• Experience designing scalable, secure data platforms (lakehouse, warehouse, analytics ecosystems)
• Solid grasp of enterprise and cloud integration patterns (batch, streaming, APIs)
• Ability to think in platforms and roadmaps , not just tools or projects
Preferred
• Experience with Microsoft Fabric , Azure Synapse, Databricks, or Snowflake in cloud-first environments
• Experience supporting enterprise BI and semantic models (Power BI, Tableau, Looker)
• Exposure to data governance practices, metadata management, and regulatory environments
Experience collaborating with security, infrastructure, and governance teams in regulated industries
Mode: Dallas, TX 75206 HYBRD 3 DAYS
Duration: 6 month, CTH
The Azure Data Platform Architect is responsible for designing, building, and scaling the organization's Azure-based cloud and data ecosystem. This role owns the end-to-end Azure architecture -from core cloud foundations through data platforms, analytics, and BI-supporting the organization's transition from on-premise systems to a modern Azure-first architecture.
Key Responsibilities
Azure Cloud & Platform Architecture
• Architect and design Azure-first cloud environments , including landing zones, identity, security, networking, storage, and governance foundations
• Lead on-prem to Azure migration strategy , including workload assessment, platform design, and phased modernization
• Define architectural standards for deploying, scaling, and securing workloads across cloud and hybrid environments
• Provide technical leadership on Azure services spanning infrastructure, data, integration, and analytics
Data Platform & Analytics Architecture
• Design and build enterprise data platforms across Azure services, including lakehouse, warehouse, and analytics layers
• Define standards for data ingestion, transformation, storage, and access using Azure-native and cloud-based services
• Establish architectural patterns for batch, streaming, and API-based integration
• Develop a long-term roadmap for lakehouse, warehouse, and semantic models , with emphasis on scalability and performance
• Architect and support Microsoft Fabric / Fabric Connect and related Azure analytics services as part of the reporting ecosystem
• Enable enterprise reporting and BI platforms (e.g., Power BI), while downstream analysts execute and manage reports
Governance, Security & Scalability
• Ensure platform architecture aligns with governance, security, regulatory, and compliance requirements (e.g., NERC/FERC preferred but not required)
• Embed security, access control, metadata, and lineage capabilities into Azure and data platform designs
• Partner with governance and data engineering teams to operationalize architectural standards and best practices
Future-State Data Architecture (as the platform matures)
• Contribute to the long-term vision for data domains and master data architecture , recognizing this as a later-phase capability
• Define integration patterns between source systems, analytics platforms, and future data management solutions
Qualifications
Required
• 5+ years of experience in Azure architecture, cloud architecture, or senior data engineering roles with strong Azure ownership
• Hands-on experience designing and building Azure cloud environments , not just consuming existing ones
• Strong understanding of Azure-native data and analytics services and modern data architecture patterns
• Experience designing scalable, secure data platforms (lakehouse, warehouse, analytics ecosystems)
• Solid grasp of enterprise and cloud integration patterns (batch, streaming, APIs)
• Ability to think in platforms and roadmaps , not just tools or projects
Preferred
• Experience with Microsoft Fabric , Azure Synapse, Databricks, or Snowflake in cloud-first environments
• Experience supporting enterprise BI and semantic models (Power BI, Tableau, Looker)
• Exposure to data governance practices, metadata management, and regulatory environments
Experience collaborating with security, infrastructure, and governance teams in regulated industries
Vacancy posted 14 hours ago
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