Solution Data Architect

Posted 8 Days Ago
Be an Early Applicant
New York, NY
In-Office
Senior level
Sharing Economy
The Role
The Solution Data Architect will design and optimize data integration, storage, and analytics infrastructures using Azure. Responsibilities include collaborating with cross-functional teams, implementing data solutions, and ensuring reliability and performance across data projects.
Summary Generated by Built In

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 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: Immigration Sponsorship Policy

Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

Top Skills

Arm Templates
Azure Databricks
Azure Devops
Azure Functions
Azure Sql Database
Data Factory
Data Lake
Docker
Kubernetes
Azure
Microsoft Fabric
Power BI
Pyspark
Python
SQL
Stream Analytics
Terraform
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The Company
HQ: New York City, NY
428 Employees
Year Founded: 2013

What We Do

A 10+ year old AI company offering cutting-edge AI products and solutions across industries.

With over a decade of experience, we help companies in their AI Transformation journey with our suite of AI Products and AI Solutions supported by our global AI Talent from underserved communities.

On a mission to #DemocratizeAI, we aim to bridge the gap between AI advancement and global impact, bringing the most advanced technology solutions to the world.

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