【日本マイクロソフト株式会社】Cloud Solution Architect- Data and AI
仕事内容
Responsibilities
Understand customers’ overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, Cognitive Services, Spark, Data Lake, Azure Synapse, etc.)
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.
Develop deep relationships with key customer IT decision makers, who drive long-term cloud adoption within their company to enable them to be cloud advocates.
Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers.
Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.
Collaborate with other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform.
Be an Azure Platform evangelist with customers, partners and external communities.
応募資格(必須経験など)
Qualifications
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
Location: Japan (Kanto region are preferred)