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. With a presence in Nepal, the United States, Canada, and the Dominican Republic and more than 400 full‐time employees, Fusemachines is dedicated to democratizing AI and transforming companies worldwide.

Position Summary This full‑time, remote Lead Data Engineer role is responsible for designing, building, maintaining, and optimizing the infrastructure required for data integration (batch and real‑time), storage, processing, and analytics using Microsoft Azure in the public sector. The role is split approximately 50/50 between hands‑on data engineering and solution architecture, serving as an Azure Cloud solutions subject‑matter expert (SME) and collaborating closely with cross‑functional teams to support business objectives.

• Design, develop, and maintain data pipelines for batch and real‑time integration using Azure services (Data Factory, Databricks, Stream Analytics, Azure Functions).
• Model and warehouse data, implement ETL/ELT processes, and build analytics solutions including BI and advanced analytics with Power BI, ML/AI components, and custom APIs.
• Architect and enforce platform standards, governance, security, and cost‑optimization principles across the Azure ecosystem.
• Drive continuous improvement of data pipelines, monitoring, testing, and infrastructure as code (Terraform or ARM templates).
• Collaborate with data scientists, architects, and engineers to deliver scalable, resilient, and high‑performance data and analytics solutions.

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 5+ years as a Senior or Lead Data Engineer or Data & Analytics Solution Architect with strong hands‑on experience in Microsoft Azure environments.
• 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.
• Experience designing and implementing 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.

• Design and implement end‑to‑end data and analytics solutions using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Stream Analytics, Azure SQL Database, and Power BI.
• Build and optimize 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.
• 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.

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.

Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company.