Azure Data Platform Architect
Dallas, IA - USA
Job Summary
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 organizations 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 organizations 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 organizations 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 organizations 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