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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.
Job Responsibility:
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
Requirements:
7+ 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
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management
Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform and Analytics Cloud solutions: 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
The technical aptitude and experience to learn new technologies and understand relevant cloud trend
Japanese fluent
Nice to have:
Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python
Competitive Landscape: Knowledge of cloud development platforms
Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs
Expertise in AI like LLM
Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle etc