Cloud Solution Architect - Data AI

Cloud Solution Architect - Data AI

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Job Description

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.

Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of Microsoft Cloud solutions and support offerings. To this end, Microsoft invests in a dedicated Customer Success team that will help Microsoft customers successfully realize their business outcomes.

Azure is the most comprehensive,innovativeand flexible cloud platform today and Microsoft is hiring professionals that will drive customer cloud adoption within the most important companies in the market.

We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other's ideas because we are better together. We stand in awe of what humans dare to achieve and are motivated every day to empower others to do more and achieve more through our technology and innovation. Together we make a difference.

To learn more about Microsoft's mission, please visit:
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Key responsibilities include:
. 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, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake, Azure Databricks, 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

  • 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 Cloud solutionsrequired:
    • SQL including OSS (postgre, MySQL etc), Azure SQL
    • NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
    • Big Data including SQL DW, Snowflake, Big Query, Redshift
    • Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau
    • Data Governance
    • Data Science
    • Machine Learning including Azure ML, ML Server
    • Artificial Intelligence including BOT framework, Cognitive Services
  • Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Pythonrequired
  • The technical aptitude and experience to learn new technologies and understand relevant cloud trendrequired
  • Competitive Landscape:Knowledge of cloud development platformspreferred
  • Partners:Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needspreferred

  • Bachelor's degree in Computer Science, Information Technology, Engineer or related fieldpreferred
  • Certification in one or more of the following technologiespreferred:Cloud, mobile, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence

  • Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, Google,IBM,etc.desired

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