Lead Data Engineer

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 Lead Data Engineer works closely with cross-functional teams supporting business objectives and serves as an Azure Cloud solutions subject matter expert (SME), collaborating with the Delivery team on solution design and implementation.
• This role is split approximately 50 / 50 between hands-on data engineering (building pipelines, modeling data, troubleshooting) and solution architecture (designing the platform, setting standards, and leading technical direction).

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

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.   Important :