Sr. Specialist Solutions Architect, Data, AWS

In this role as a Senior Specialist Solutions Architect you will provide customers with best practices for building and operating analytics search and streaming workloads. Beyond that you will partner with customers to design agent-ready data platforms foundations that enable AI agents to autonomously search process and analyse data to support decision-making. This is an environment where you can take on the rapid pace of technological change head-on: from traditional BI/DWH to semantic search powered by generative AI natural language data exploration RAG-based insight generation and the convergence of real-time streaming with AI.

While grounded in deep analytics expertise you will approach customer challenges with a broad perspective that spans adjacent domains such as ML security and databases. As a trusted advisor you will provide guidance not only on cost optimisation and performance but also on new dimensions including data governance AI/ML integration and multimodal data utilisation driving customer projects forward.

You will design and build cloud-native and generative-AI-native reference architectures with your own hands and share them broadly with the technical community through white papers workshops blogs and addition to supporting customers in Japan you will continuously provide feedback to shape the roadmap for AWS analytics search streaming and generative AI services.

Data is the context layer that turns generic AI into personalised differentiated customer experiences. Every AI conversation is a data conversation and this role sits at the centre of it for Japan. If you see the evolution of technology as an opportunity and are eager to co-create new value with customers through the fusion of data and AI come join us and build the future together!

Key job responsibilities
Provide deep technical expertise in analytics search and streaming (Redshift Athena EMR Glue Kinesis MSK OpenSearch Lake Formation DataZone S3 Tables QuickSight Clean Rooms) to advance AWS adoption across Japanese customers
Design agent-ready data platforms enabling AI agents to autonomously search process and analyse data through agentic workflows
Advise on modern data strategies: lakehouse Iceberg zero-ETL data mesh RAG-based insight generation and semantic search
Lead architectural reviews immersion days PoC and builds
Act as thought leader and trusted advisor from data engineers to C-suite
Carry customer feedback and competitive signals back to service teams to shape the roadmap

A day in the life
You support customers across Japans leading industries Manufacturing Financial Services Telecommunications Gaming and Digital-Native companies. One morning youre whiteboarding a lakehouse architecture; midday youre in a CxO briefing making the case to migrate from on-premises Hadoop to a serverless analytics stack that enables agentic AI. The afternoon youre building a RAG-based PoC with OpenSearch and Bedrock then feeding product feedback to the Redshift service team. You work with Japans most recognised brands helping them build the data platforms that power their next generation of AI-driven experiences.

About the team
The WWSO Data & AI team helps customers adopt our newest and most advantageous technologies. This role sits on the APJC Data team alongside Analytics Database and Storage Specialist SAs across six Japan you work closely with the Analytics Specialists and Database/Storage SAs to deliver holistic data outcomes. We operate in a collaborative model where GTM Specialists SAs and account teams bring unique strengths in concert. If you thrive going deep on technology love building for customers and measure success by the architectures youve shaped this is the role for you.

- Speak write and read fluently in Japanese at a business level or above (N1)
- Experience in Business English skills both verbal and written
- Experience with AWS data warehouse and reporting technologies like Redshift Athena S3 etc.
- Experience working cross-functionally with a wide breadth of stakeholders users engineers and leaders to generate buy-in.
- Deep hands-on experience with analytics technologies data warehousing (e.g. Redshift Snowflake BigQuery Teradata) data lakes ETL/ELT pipelines streaming (Kafka Kinesis Flink) search (Elasticsearch/OpenSearch) and data governance.
- Experience designing large-scale production-grade data architectures for enterprise customers including considerations for performance security cost optimization and operational excellence.

- Experience designing AI/Agent-ready data platforms and modern data strategies (lakehouse Iceberg zero-ETL RAG semantic search data mesh)
- Track record building reusable assets (reference architectures workshops blogs) at scale
- AWS certifications (SA Data Analytics ML Specialty) preferred

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