Senior Data Architect

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, 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.

Job Type:

The Data Architect has deep knowledge of relevant technologies, understands the relationship between those technologies, and how they can be integrated and combined to effectively solve any given big data business problem. This is a part-time, fully remote and contract position

Role Scope:

• Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on any of the cloud platform (GCP, AWS, Azure)
• Own the technical data strategy and present to leadership 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

Requirements for the role:

• 8+ years experience working as a Data Architect, ETL Architect, or similar roles and experience
• Must have expertise in SAS and Big Query
• Experience in Apache Spark
• Experience inTableau Software
• Experience in working (configuring, deploying, managing and monitoring) with either in AWS, Azure of GCP
• You have strong experience working with Amazon Web Services, Azure or GCP (certifications preferred)
• Knowledge of and aptitude for machine learning development and implementation

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Differences make us better.

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