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We are looking for a highly motivated and passionate Data Platform & Advanced Analytics/Artificial Intelligence Cloud Solution Architect to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with customers and the Microsoft field in Enterprise accounts segment of our business. This is a customer facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform.

You will own the Data Platform & Advanced Analytics and AI technical support for both pre and post sales including architectural design sessions, specific implementation projects, build MVPs and trouble solving and prevent the issues and support to build more efficient systems with Well-Architect framework. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions.

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.

Qualifications

Required/Minimum Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

• 2+ years of experience in software development/support, data science, analytics/BI system development, or artificial intelligence.

• Familiarity with at least one development language (e.g., Python, Java, Go, C#, JavaScript, Scala).

• Problem Solving. Ability to solve customer problems through cloud technologies required

Additional or Preferred Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

• 5+ years of experience in open source technologies, cloud/infrastructure technologies, software development/support, data science, analytics/BI system development, or artificial intelligence.

• Proficiency in one of the development languages (e.g., Python, Java, Go, C#, JavaScript, Scala).

• 2+ years experience working in a customer-facing role (e.g., internal and/or external)

• 2+ years experience working on technical projects

• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications).

Tech Skill Key Words (Optional, The more familiar entries, the better.)

• Essential Skills:

• OpenAI/AI and Cognitive services

• NoSQL Databases including OSS (Cassandra, Mongo, HBase, etc.), Cosmos DB

• Big Data platforms (Databricks, Synapse, Snowflake, Big Query, Redshift, Spark)

• Advanced Analytics (Azure Synapse, Databricks, visualization tools such as PowerBI, Tableau, QuickBI)

• Preferred Skills:

• Data Science and Data Engineering (machine learning frameworks such as PyTorch and scikit-learn)

• Expertise in data estate workloads (HDInsight, Hadoop, Cloudera, Spark, Hive, Flink, etc.)

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .