Solution Architect AWS Snowflake
FuseMachines
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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