Cloud Solution Architect - Mumbai - Microsoft

• 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, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.)
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment
• Become accredited and trained to be able to deliver, in a timely and efficient manner, specific customer pre- and post-sales engagements which would be billed based on customer contracts.
• Develop deep relationships with key customer IT decision makers and relevant business decision makers (like AI or Analytics), 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 and MS stakeholders in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms.
• 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.

• 8+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required
• Relationship Building . Proven track record of building deep technical relationships with senior IT executives in large or highly strategic accounts. Experience in managing various stakeholder relationships to get consensus on solution/projects. Required
• Problem Solving. Ability to solve customer problems through cloud technologies Required
• Collaboration and Communication. Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects. Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management, Database administrators and Data Scientist) Required

Technical

• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management. required
• The technical aptitude and experience to learn new technologies and understand relevant cloud trend
• Competitive Landscape: Knowledge of cloud development platforms
• Partners: Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs preferred

• Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Analytics and AI Platform Cloud solutions:
• SQL including OSS (postgres, MySQL etc), Azure SQL Required
• NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB, Big Data including SQL DW, Snowflake, Big Query, Redshift Preferred
• Advanced Analytics including Azure Data Factory, Azure Data Bricks, visualization tools as PowerBI, Tableau Preferred
• Data Governance OR Data Engineering OR Data Science OR Machine Learning including Azure ML OR ML Server Preferred
• Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search Optional
• Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python Preferred

Education

• Bachelors degree in Computer Science, Information Technology, Engineer or related field preferred
• Certification in one or more of the following technologies preferred: Cloud, mobile, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence

Experience

• Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired
• Prior solution delivery experience in Analytic and AI specialized solution providers