Sr. Analytics Specialist SA, Solutions Architecture

Overview

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 Amazon Web Services (AWS) is looking for a Sr.

What you'll do

• 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 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.

Requirements

• Practical experience with Go, AWS, Kafka, Spark.
• Experience level: 8+ yrs.
• Strong written and verbal communication in English.
• Comfortable working on-site in Taipei City, TWN.

Skills