Data and AI Cloud Solution Architect

Location: United States


  • Looking for a highly motivated and passionate Data Platform & Advanced Analytics Cloud Solution Architect to drive high priority customer initiatives on the Microsoft Azure Platform.
  • This is a customer facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform. 
  • Own the Data Platform & Advanced Analytics technical customer engagements including architectural design sessions, specific implementation projects and/or MVPs.  
  • 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
  • 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 
  • Identifies technical blockers (e.g., changing configurations, sample coding) for selected products to accelerate architecture implementations and routes non-technical issues for removal by the appropriate party.
  • Applies methodology and governance, as directed, to minimize business and technical risks and adhere to quality assurance while contributing to design and/or delivery of solutions (e.g. Well-Architected Framework, Enterprise Scale Landing Zone, Cloud Adoption Framework). Demonstrates an understanding of customer/partner conditions of success.

Required Qualifications

  • 10+ years of success in consultative problem solving and deployment projects, architecture, design, implementation, and/or support of highly distributed applications
  • 5+ years of experience on creating complex data solutions leveraging Microsoft Azure Platform with deep knowledge around Data ingestions frameworks, data storage, compute and visualizations. 
  • Hand-on experience of creating data pipelines, unified data platforms and deploying ML models on the Azure cloud platform
  • Experience with API and Microservices based architecture patterns for deploying ML models on cloud. 
  • Hands on experience with core Azure components like ADF, Managed SQL, Synapse, Azure Data Bricks, PowerBI, etc. 
  • Knowledge of Agile Methodology, SCRUM framework, SDLC, CI/CD, DevOps
  • Knowledge of Web API, JSON, XML, REST
  • Ability to clearly articulate new ideas and concepts to technical and non-technical audience 

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