Fusemachines has been helping organizations across industries unlock their potential for the future, by leveraging AI. For over a decade, we've been a leading expert in providing AI Strategy and bespoke AI Products & Solutions. Leveraging our proprietary “AI Engines” and “Fuse Hubs,” we help drive our client’s AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. Our mission is to Democratize AI, unleash AI Talent in underserved communities across the globe with AI Education, and make AI accessible to everyone. Under the leadership of our founder and CEO, Sameer Maskey, Ph.D., Adjunct Associate Professor at Columbia University, we continue to actively pursue our mission of Democratizing AI for the masses and helping organizations achieve their full potential. Headquartered in New York with operations across Canada, USA, Latin America, and Asia. Geared towards starting operations in Europe, ANZ, and the Middle East very soon. Want to explore how we can help you? Schedule a conversation with us today!

Job description

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.

Remote (US Only)

Seeking a hands-on Data Solution Architect with 7+ years of experience designing and implementing large-scale data and analytics solutions in AWS and Snowflake. Must have proven experience in business continuity, disaster recovery, and high availability.

Responsibilities:

Translate functional/non-functional requirements into low-level designs, creating standardized artifacts.
Architect end-to-end data solutions on AWS and Snowflake, covering integration, storage, processing, analytics, and AI/ML.
Design highly available, scalable, and resilient data solutions, including disaster recovery and business continuity plans.
Design data governance solutions (metadata, cataloging, quality, lineage).
Collaborate with cross-functional teams in an Agile environment.
Stay current with AWS/Snowflake trends.

Qualifications:

Bachelor's degree in Computer Science or similar.
7+ years of data architecture/engineering experience.
Expertise in AWS and Snowflake.
Hands-on experience with data warehousing, data lake/lakehouse solutions, data pipelines (ELT/ETL), Spark/PySpark, DBT, and Kafka.
Familiarity with AI/ML services and tools.
Strong understanding of SDLC, Agile, and DevOps principles.
Excellent communication skills.

Preferred Certifications: AWS and SnowPro certifications.

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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