Fusemachines · 22 hours ago
Solution Data Architect
Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. The Solution Data Architect is responsible for designing, building, maintaining, and optimizing the infrastructure for data integration, storage, processing, and analytics using Microsoft Azure in the Public Sector.
Artificial Intelligence (AI)Big DataMachine LearningSoftware
Responsibilities
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
Working closely with cross-functional teams supporting business objectives
Serving as a Azure Cloud solutions subject matter expert (SME) and collaborating with the Delivery team on solution design, and implementation
Qualification
Required
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
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
Preferred
Microsoft Certified: Azure Fundamentals
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure AI Engineer Associate
Company
Fusemachines
Fusemachines is an enterprise AI services and solutions provider that brings AI education, products, and jobs to underserved communities.
Funding
Current Stage
Public CompanyTotal Funding
$9.87MKey Investors
Consilium Investment ManagementBusiness Oxygen (BO2)
2025-12-23Post Ipo Equity· $1M
2025-10-23IPO
2022-01-14Private Equity· $1M
Recent News
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2026-01-21
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