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Description

Amazon Web Services (AWS) is looking for a Sr. Analytics Specialist Solutions Architect to join our team in Taiwan and help customers unlock the full value of their data. In this role, you will serve as a Subject Matter Expert (SME), working directly with enterprise customers to design cloud-based analytics solutions — spanning data warehousing, data lake architectures, real-time analytics, and modern data platform (資料中台) strategies.
We are looking for someone with a data scientist's mindset — someone who deeply understands how data flows from ingestion to insight, and who can translate complex analytical requirements into scalable, production-grade architectures on AWS. You will help customers build the data foundation required to power advanced analytics, machine learning, and AI initiatives.
This is a deeply technical, customer-facing role for someone who thrives on solving complex data challenges and enabling organizations to become truly data-driven.


Key job responsibilities
- Analytics Architecture Design: Provide deep technical expertise for customer engagements involving AWS analytics services, including Amazon Redshift, Amazon Athena, Amazon EMR, AWS Glue, Amazon Kinesis, Amazon OpenSearch, Amazon QuickSight, and the broader data ecosystem.
- Data Platform Strategy (資料中台): Help customers design and implement modern data platform architectures — including centralized data lakes, data mesh patterns, data products, metadata management, and data governance frameworks that enable self-service analytics across the organization.
- Data Science Enablement: Bridge the gap between data engineering and data science teams, designing architectures that enable efficient feature engineering, experimentation, model training data pipelines, and analytical workloads at scale.
- Solution Design & Deployment: Design and deploy scalable, high-performance data warehousing, data lake, and real-time analytics solutions tailored to customer business requirements.
- Field Enablement: Create enablement materials for the broader SA population to help them understand how to integrate AWS analytics solutions into customer architectures.
- Cross-functional Collaboration: Partner with account teams, specialist sellers, Professional Services, and partners to drive analytics adoption and deliver comprehensive data solutions.