Solution Architect AWS Snowflake

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