Azure Solution Architect
Listed on 2026-06-27
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Azure
Azure Solution Architect
Location:
Norwell, MA
Duration:
Full Time
Job Description:
Solution & Cloud Architecture:
Design end-to-end Azure solution architectures aligned with business, technical, and security requirements.
Define reference architectures, design patterns, and best practices for enterprise Azure implementations.
Lead architecture reviews, design approvals, and technical governance.
Microsoft Fabric Architecture:
Architect analytics solutions using Microsoft Fabric
Design Fabric Lakehouse architectures leveraging One Lake.
Define data ingestion, transformation, semantic modeling, and reporting patterns within Fabric.
Ensure performance optimization, scalability, and cost efficiency in Fabric workloads.
Azure Services:
Provide architectural leadership across core Azure services:
Compute:
App Services, Functions, AKS
Data: ADLS Gen2, Synapse, Azure SQL, Cosmos DB
Messaging:
Event Hub, Service Bus
Monitoring:
Azure Monitor, Log Analytics
Drive cloud-native, scalable, and cost-optimized designs.
Security:
Design secure Azure architectures following Zero Trust principles.
Implement identity and access management using Azure AD (Entra ), RBAC, and PIM.
Architect data security controls like Encryption at rest and in transit, Network security and Data loss prevention and sensitivity labels
Ensure compliance with regulatory standards (HIPAA, GDPR, SOC, etc.).
Data Integration:
Architect and oversee data integration pipelines using Fabric Data Factory, Azure Data Factory Event-driven integrations (Event Hub, Kafka) and
API-based integrations
Design batch and near real-time data ingestion patterns.
Ensure reliable, scalable, and fault-tolerant integration frameworks.
Data Architecture:
Design modern data architectures (Lakehouse, Data Mesh, Medallion architecture).
Define data models (conceptual, logical, physical) and analytical schemas (star/snowflake).
Guide teams on data quality, data lifecycle management, and data standards.
Support AI/ML-ready data architectures.
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