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GCP Data Architect


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, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.


This is a part-time, fully remote, and contract position.


  • Evaluated and implemented data solutions in Google Cloud Platform
  • Experience in Python
  • Experience  in Apache Spark
  • Experience  in Tableau Software
  • Experience in working (configuring, deploying, managing and monitoring) with GCP
  • Knowledge of and aptitude for machine learning development and implementation


  • Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the GCP platform
  • Own the technical data strategy and present to lead the solutions to complex data problems
  • Design and enrich data pipelines to combine disparate data from batch and real-time data sources
  • Profile data sources, measure data quality, and create systems to ensure data integrity for machine learning, analysis, and reporting
  • Strategically challenge and evolve the existing data environment and architecture


  • 8+ years experience working as a Data Architect, ETL Architect, or similar roles and experience
  • You’re passionate about developer tools, with an extensive engineering background
  • Experience designing, building, testing, and delivering in an agile environment

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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