Azure Data Platform Architect
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Job description
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., 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, This early-career fullstack role is tailored for recent graduates eager to accelerate their growth by building impactful products. You will contribute to and gradually take ownersh…
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Requirements
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