Solution Data Architect

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

About the role:

Location: Remote (Full-time)

This is a full-time position responsible for designing, building, maintaining and optimizing the infrastructure required for data integration (batch and real-time), storage (including databases and data modeling), processing, and analytics (BI, visualization and Advanced Analytics) using Microsoft Azure in the Public Sector.

The Solution Data Architect works closely with cross-functional teams supporting business objectives, and serves as a Azure Cloud solutions subject matter expert (SME) and collaborates with the Delivery team on solution design, and implementation.

Qualifications & Experience

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum 5 years as a Data & Analytics Solution Architect with strong, hands-on experience in Microsoft Azure environments.
• 5+ years working with Azure Cloud Platform and Azure DevOps, with exposure to other hyperscalers.
• Proven experience delivering end-to-end data and analytics projects, including hands-on development as a Senior Data Engineer.
• Deep and recent experience with Microsoft Fabric, Azure Databricks, Azure Functions, and PySpark for real-time, low-latency data pipeline design and implementation.
• Expertise in data modeling, integration (ETL/ELT), warehousing, and BI, using services such as Data Factory, Data Lake, Stream Analytics, and Azure SQL Database.
•  Demonstrated ability to design and implement GraphQL and RESTful APIs within Azure ecosystems.
• Preferred Certifications:
  • Microsoft Certified: Azure Fundamentals
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure AI Engineer Associate

Required skills/ Competencies

• Deep experience designing and implementing end-to-end data and analytics solutions using Microsoft Azure services such as Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Stream Analytics, Azure SQL Database, and Power BI.
   
• Proven hands-on experience building and optimizing real-time, low-latency pipelines using PySpark, Azure Functions, Event Hubs, and Stream Analytics.
   
• Strong understanding of CI/CD, Infrastructure as Code (Terraform or ARM templates), configuration management, automated testing, and cost optimization principles.
   
• Expertise in data modeling, data integration (ETL/ELT), warehousing, BI, and advanced analytics (ML/AI) within Azure environments, ensuring scalable and resilient designs.
   
• Proficiency in Python and SQL, with ability to diagnose performance issues, optimize pipelines, and ensure system reliability.
   
• Experience designing data governance, cataloging, data quality, and lineage frameworks; implementing Azure security best practices (IAM, encryption, compliance); and managing monitoring tools such as Azure Monitor, Application Insights, or Datadog.
   
• Familiarity with Kubernetes and Docker for scalable architecture, including design and configuration of containerized services.
   
• Strong ability to work cross-functionally with architects, engineers, and data scientists, and to clearly document architecture and deployment configurations.
   
• Committed to staying updated with emerging Azure technologies, AI/ML integrations, and data architecture best practices to drive innovation and efficiency

Equal Opportunity Employer: Fusemachines is committed to fostering a diverse and inclusive workplace. We welcome ap