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 (Contract to 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
Bachelors 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 applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status.
About the job
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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 (Contract to 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
Bachelors 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 applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status.