Overview
We are seeking a highly motivated and technically skilled Cloud Solution Architect (CSA) specializing in Data Platform, Advanced Analytics, and Artificial Intelligence to support strategic customer engagements on Microsoft Azure. This customer-facing role is responsible for driving technical strategy, architecture design, and deployment of data and AI solutions, ensuring long-term customer success and Azure consumption growth.
You will lead technical engagements from pre-sales to post-sales, including workshops, MVP builds, production deployments, and optimization aligned with the Well-Architected Framework. The ideal candidate has a strong background in enterprise architecture, cloud technologies, and customer collaboration.
Responsibilities
Responsibilities
- Understand customer data estate, IT strategy, and business goals to design scalable and secure Azure-based architectures.
- Architect and implement solutions using cutting-edge Azure technologies such as Azure OpenAI, Copilot Studio, Azure ML, Microsoft Fabric, Synapse, Databricks, Purview, and Power BI.
- Ensure solutions meet performance, security, scalability, maintainability, and reliability standards.
- Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models.
- Lead technical workshops, build MVPs, and guide customers through production deployments.
- Collaborate with internal engineering teams to remove blockers and share customer feedback.
- Stay current with market trends, competitive insights, and Microsoft’s FY26 solution plays (e.g., Vaas Enhanced, DE, EDE).
- Evangelize Azure technologies within customer, partner, and community ecosystems.
Qualifications
Professional Experience:
- 5+ years in technical consulting, architecture, or deployment of distributed systems and cloud solutions.
- Proven ability to build deep technical relationships with senior IT stakeholders and influence decision-making.
- Strong problem-solving skills using cloud technologies.
- Excellent communication and presentation skills across technical and executive audiences.
Technical Expertise:
- Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management. required
- Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform and Analytics Cloud solutions required:
- AOAI/AI and Cognitive services
- NoSQL Databases including OSS (Cassandra, Mongo, and HBase etc), Cosmos DB
- Big Data platform such as Synapse, Snowflake, Big Query, Redshift, Spark
- Advanced Analytics including Azure Synapse, Databricks, and visualization tools such as PowerBI, Tableau.
- Data Science and Data Engineering including machine learning framework such as PyTorch and scikit-learn.
- SQL Server/Database and OSS database (PostgreSQL, MySQL etc)
- Streaming, IoT, Real-time analytics
- Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python preferred
- The technical aptitude and experience to learn new technologies and understand relevant cloud trend required
- Competitive Landscape: Knowledge of cloud development platforms preferred
- Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs preferred
- Expertise in AI like LLM Preferred
- Japanese fluent
- Location: Japan (Kanto region are preferred)
Experiences:
Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired